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C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Making recommendations for further research work | Although the current study is based on a small sample of participants, the findings suggest ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Making recommendations for further research work".
Example Sentence: "Although the current study is based on a small sample of participants, the findings suggest ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Making recommendations for further research work | The question raised by this study is … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Making recommendations for further research work".
Example Sentence: "The question raised by this study is …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Making recommendations for further research work | The study should be repeated using ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Making recommendations for further research work".
Example Sentence: "The study should be repeated using ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Making recommendations for further research work | This would be a fruitful area for further work. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Making recommendations for further research work".
Example Sentence: "This would be a fruitful area for further work.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Implications and/or recommendations for practice or policy | More information on X would help us to establish a greater degree of accuracy on this matter. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Implications and/or recommendations for practice or policy".
Example Sentence: "More information on X would help us to establish a greater degree of accuracy on this matter.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Implications and/or recommendations for practice or policy | Other types of X could include: a), b) ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Implications and/or recommendations for practice or policy".
Example Sentence: "Other types of X could include: a), b) ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Implications and/or recommendations for practice or policy | Greater efforts are needed to ensure ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Implications and/or recommendations for practice or policy".
Example Sentence: "Greater efforts are needed to ensure ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks | [
{
"display_name": "Residual",
"id": "https://openalex.org/C155512373",
"level": 2,
"score": 0.91328824,
"wikidata": "https://www.wikidata.org/wiki/Q287450"
},
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.7827219,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Coco",
"id": "https://openalex.org/C21780288",
"level": 2,
"score": 0.7302752,
"wikidata": "https://www.wikidata.org/wiki/Q5139731"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.7211458,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Object detection",
"id": "https://openalex.org/C2776151529",
"level": 3,
"score": 0.60773295,
"wikidata": "https://www.wikidata.org/wiki/Q3045304"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.57282454,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Segmentation",
"id": "https://openalex.org/C89600930",
"level": 2,
"score": 0.5636843,
"wikidata": "https://www.wikidata.org/wiki/Q1423946"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.56021905,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Set (abstract data type)",
"id": "https://openalex.org/C177264268",
"level": 2,
"score": 0.4790636,
"wikidata": "https://www.wikidata.org/wiki/Q1514741"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47214726,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Artificial neural network",
"id": "https://openalex.org/C50644808",
"level": 2,
"score": 0.45602506,
"wikidata": "https://www.wikidata.org/wiki/Q192776"
},
{
"display_name": "Task (project management)",
"id": "https://openalex.org/C2780451532",
"level": 2,
"score": 0.45123157,
"wikidata": "https://www.wikidata.org/wiki/Q759676"
},
{
"display_name": "Machine learning",
"id": "https://openalex.org/C119857082",
"level": 1,
"score": 0.44327608,
"wikidata": "https://www.wikidata.org/wiki/Q2539"
},
{
"display_name": "Residual neural network",
"id": "https://openalex.org/C2944601119",
"level": 3,
"score": 0.431252,
"wikidata": "https://www.wikidata.org/wiki/Q43744058"
},
{
"display_name": "Deep neural networks",
"id": "https://openalex.org/C2984842247",
"level": 3,
"score": 0.41046202,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
}
] | Writing Conclusions | Implications and/or recommendations for practice or policy | There is, therefore, a definite need for ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Writing Conclusions section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks"
Function: "Implications and/or recommendations for practice or policy".
Example Sentence: "There is, therefore, a definite need for ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline | A key aspect of X is … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline".
Example Sentence: "A key aspect of X is … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline | X is of interest because … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline".
Example Sentence: "X is of interest because … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline | X is a classic problem in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline".
Example Sentence: "X is a classic problem in … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline | X is a central concept in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline".
Example Sentence: "X is a central concept in … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline: time frame given | X was one of the most popular Ys during … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline: time frame given".
Example Sentence: "X was one of the most popular Ys during …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline: time frame given | Recent years have seen renewed interest in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline: time frame given".
Example Sentence: "Recent years have seen renewed interest in …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline: time frame given | Traditionally, Xs have subscribed to the belief that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline: time frame given".
Example Sentence: "Traditionally, Xs have subscribed to the belief that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the discipline: time frame given | Recent trends in X have led to a proliferation of studies that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the discipline: time frame given".
Example Sentence: "Recent trends in X have led to a proliferation of studies that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society | X is widespread in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society".
Example Sentence: "X is widespread in …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society | X is fundamental to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society".
Example Sentence: "X is fundamental to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society | X is the primary means of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society".
Example Sentence: "X is the primary means of …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society | X is a major contributor to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society".
Example Sentence: "X is a major contributor to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society: time frame given | X has been an established practice since … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society: time frame given".
Example Sentence: "X has been an established practice since …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society: time frame given | One of the most important events of the 1970s was … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society: time frame given".
Example Sentence: "One of the most important events of the 1970s was …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society: time frame given | Recent developments in X have heightened the need for … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society: time frame given".
Example Sentence: "Recent developments in X have heightened the need for …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establishing the importance of the topic for the world or society: time frame given | The last two decades have seen a growing trend towards … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establishing the importance of the topic for the world or society: time frame given".
Example Sentence: "The last two decades have seen a growing trend towards …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establising the importance of the topic as a problem to be addressed | X is a key issue in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establising the importance of the topic as a problem to be addressed".
Example Sentence: "X is a key issue in …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establising the importance of the topic as a problem to be addressed | X is a leading cause of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establising the importance of the topic as a problem to be addressed".
Example Sentence: "X is a leading cause of …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establising the importance of the topic as a problem to be addressed | X is a major problem in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establising the importance of the topic as a problem to be addressed".
Example Sentence: "X is a major problem in …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Establising the importance of the topic as a problem to be addressed | Of particular concern is … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Establising the importance of the topic as a problem to be addressed".
Example Sentence: "Of particular concern is …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Referring to previous work to establish what is already known | Recent evidence suggests that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Referring to previous work to establish what is already known".
Example Sentence: "Recent evidence suggests that … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Referring to previous work to establish what is already known | Extensive research has shown that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Referring to previous work to establish what is already known".
Example Sentence: "Extensive research has shown that … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Referring to previous work to establish what is already known | Research in this area has shown that … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Referring to previous work to establish what is already known".
Example Sentence: "Research in this area has shown that …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Referring to previous work to establish what is already known | Studies of X show the importance of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Referring to previous work to establish what is already known".
Example Sentence: "Studies of X show the importance of … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a controversy within the field of study | A much-debated question is whether … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a controversy within the field of study".
Example Sentence: "A much-debated question is whether …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a controversy within the field of study | Debate has long prevailed as to whether … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a controversy within the field of study".
Example Sentence: "Debate has long prevailed as to whether …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a controversy within the field of study | The precise effect of X is a much-debated topic. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a controversy within the field of study".
Example Sentence: "The precise effect of X is a much-debated topic.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a controversy within the field of study | One major issue in early X research concerned ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a controversy within the field of study".
Example Sentence: "One major issue in early X research concerned ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Noting the lack of or paucity of previous research | No previous study has investigated X. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Noting the lack of or paucity of previous research".
Example Sentence: "No previous study has investigated X.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Noting the lack of or paucity of previous research | The use of X has not been investigated. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Noting the lack of or paucity of previous research".
Example Sentence: "The use of X has not been investigated.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Noting the lack of or paucity of previous research | There is little published information on … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Noting the lack of or paucity of previous research".
Example Sentence: "There is little published information on …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Noting the lack of or paucity of previous research | The role of X remains largely unexamined. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Noting the lack of or paucity of previous research".
Example Sentence: "The role of X remains largely unexamined.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical) | Previous studies of X have not dealt with ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical)".
Example Sentence: "Previous studies of X have not dealt with ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical) | Researchers have not treated X in much detail. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical)".
Example Sentence: "Researchers have not treated X in much detail.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical) | Such expositions are unsatisfactory because they ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical)".
Example Sentence: "Such expositions are unsatisfactory because they ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical) | Such approaches, however, have failed to address … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Highlighting inadequacies or weaknesses of previous studies (also refer to Being Critical)".
Example Sentence: "Such approaches, however, have failed to address …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | General reference to previous research or scholarship: highlighting negative outcomes | Previous studies have failed to… | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "General reference to previous research or scholarship: highlighting negative outcomes".
Example Sentence: "Previous studies have failed to…". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | General reference to previous research or scholarship: highlighting negative outcomes | Few studies have succeded in finding a link between … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "General reference to previous research or scholarship: highlighting negative outcomes".
Example Sentence: "Few studies have succeded in finding a link between …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | General reference to previous research or scholarship: highlighting negative outcomes | Few studies have succeeded in demonstrating any reliable, repeatable therapeutic effects of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "General reference to previous research or scholarship: highlighting negative outcomes".
Example Sentence: "Few studies have succeeded in demonstrating any reliable, repeatable therapeutic effects of …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | General reference to previous research or scholarship: highlighting negative outcomes | Previous studies have failed to show any significant advantages of using … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "General reference to previous research or scholarship: highlighting negative outcomes".
Example Sentence: "Previous studies have failed to show any significant advantages of using …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Indicating missing, weak, or contradictory evidence | Previous studies have failed to | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Indicating missing, weak, or contradictory evidence".
Example Sentence: "Previous studies have failed to". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Indicating missing, weak, or contradictory evidence | Evidence for X has been mixed. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Indicating missing, weak, or contradictory evidence".
Example Sentence: "Evidence for X has been mixed.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Indicating missing, weak, or contradictory evidence | The evidence for X is in fact ambiguous. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Indicating missing, weak, or contradictory evidence".
Example Sentence: "The evidence for X is in fact ambiguous.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Indicating missing, weak, or contradictory evidence | There is contradictory evidence as to whether … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Indicating missing, weak, or contradictory evidence".
Example Sentence: "There is contradictory evidence as to whether …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a knowledge gap in the field of study | Some studies have shown the beneficial effects of X, but others have shown a deterioration in … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a knowledge gap in the field of study".
Example Sentence: "Some studies have shown the beneficial effects of X, but others have shown a deterioration in …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a knowledge gap in the field of study | Much less is known about X. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a knowledge gap in the field of study".
Example Sentence: "Much less is known about X.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a knowledge gap in the field of study | It is still not known whether … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a knowledge gap in the field of study".
Example Sentence: "It is still not known whether …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Identifying a knowledge gap in the field of study | The nature of X remains unclear. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Identifying a knowledge gap in the field of study".
Example Sentence: "The nature of X remains unclear.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the focus, aim, or argument of a short paper | It is now well established that … However, the influence of X on Y has remained unclear. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the focus, aim, or argument of a short paper".
Example Sentence: "It is now well established that … However, the influence of X on Y has remained unclear.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the focus, aim, or argument of a short paper | In this paper, I argue that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the focus, aim, or argument of a short paper".
Example Sentence: "In this paper, I argue that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the focus, aim, or argument of a short paper | This paper has four key aims. Firstly, … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the focus, aim, or argument of a short paper".
Example Sentence: "This paper has four key aims. Firstly, …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the focus, aim, or argument of a short paper | The central thesis of this paper is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the focus, aim, or argument of a short paper".
Example Sentence: "The central thesis of this paper is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the aims of the current research (note frequent use of past tense) | In the pages that follow, the following questions will be addressed | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the aims of the current research (note frequent use of past tense)".
Example Sentence: "In the pages that follow, the following questions will be addressed". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the aims of the current research (note frequent use of past tense) | The specific objective of this study was to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the aims of the current research (note frequent use of past tense)".
Example Sentence: "The specific objective of this study was to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the aims of the current research (note frequent use of past tense) | An objective of this study was to investigate ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the aims of the current research (note frequent use of past tense)".
Example Sentence: "An objective of this study was to investigate ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the aims of the current research (note frequent use of past tense) | This study set out to investigate the usefulness of ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the aims of the current research (note frequent use of past tense)".
Example Sentence: "This study set out to investigate the usefulness of ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating purpose of the current research with reference to gaps or issues in the literature | The current study aimed to address these discrepancies and investigate the … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating purpose of the current research with reference to gaps or issues in the literature".
Example Sentence: "The current study aimed to address these discrepancies and investigate the …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating purpose of the current research with reference to gaps or issues in the literature | Our study aimed to address these concerns through the development of … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating purpose of the current research with reference to gaps or issues in the literature".
Example Sentence: "Our study aimed to address these concerns through the development of …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating purpose of the current research with reference to gaps or issues in the literature | Our investigations aimed to target this uncertainty by reviewing the scientific and technical data … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating purpose of the current research with reference to gaps or issues in the literature".
Example Sentence: "Our investigations aimed to target this uncertainty by reviewing the scientific and technical data …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating purpose of the current research with reference to gaps or issues in the literature | The aim of our work was to fill these gaps in the existing literature by … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating purpose of the current research with reference to gaps or issues in the literature".
Example Sentence: "The aim of our work was to fill these gaps in the existing literature by … ". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the purpose of the thesis, dissertation, or research article (note use of present tense) | This thesis examines the way in which the ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the purpose of the thesis, dissertation, or research article (note use of present tense)".
Example Sentence: "This thesis examines the way in which the ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the purpose of the thesis, dissertation, or research article (note use of present tense) | This dissertation seeks to explain the development of ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the purpose of the thesis, dissertation, or research article (note use of present tense)".
Example Sentence: "This dissertation seeks to explain the development of ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the purpose of the thesis, dissertation, or research article (note use of present tense) | This case study seeks to examine the changing nature of ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the purpose of the thesis, dissertation, or research article (note use of present tense)".
Example Sentence: "This case study seeks to examine the changing nature of ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Stating the purpose of the thesis, dissertation, or research article (note use of present tense) | The overall aim of this thesis is to review the evidence for … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Stating the purpose of the thesis, dissertation, or research article (note use of present tense)".
Example Sentence: "The overall aim of this thesis is to review the evidence for …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Setting out the research questions or hypotheses | Drawing upon two strands of research into X, this paper attempts to ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Setting out the research questions or hypotheses".
Example Sentence: "Drawing upon two strands of research into X, this paper attempts to ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Setting out the research questions or hypotheses | The hypothesis that will be tested is that ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Setting out the research questions or hypotheses".
Example Sentence: "The hypothesis that will be tested is that ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Setting out the research questions or hypotheses | The research questions in this study focused on … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Setting out the research questions or hypotheses".
Example Sentence: "The research questions in this study focused on …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Setting out the research questions or hypotheses | The central question in this dissertation asks how ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Setting out the research questions or hypotheses".
Example Sentence: "The central question in this dissertation asks how ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the research design and the methods used | In particular, this dissertation will examine six main research questions: … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the research design and the methods used".
Example Sentence: "In particular, this dissertation will examine six main research questions: …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the research design and the methods used | Data for this study were collected using... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the research design and the methods used".
Example Sentence: "Data for this study were collected using...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the research design and the methods used | Five works will be examined, all of which … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the research design and the methods used".
Example Sentence: "Five works will be examined, all of which …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the research design and the methods used | A mixed-method approach was employed using … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the research design and the methods used".
Example Sentence: "A mixed-method approach was employed using …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining the significance of the current study | A combination of quantitative and qualitative approaches was used in the data analysis. | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining the significance of the current study".
Example Sentence: "A combination of quantitative and qualitative approaches was used in the data analysis.". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining the significance of the current study | This is the first study to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining the significance of the current study".
Example Sentence: "This is the first study to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining the significance of the current study | This work will generate fresh insights into … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining the significance of the current study".
Example Sentence: "This work will generate fresh insights into …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining the significance of the current study | Understanding the link between X and Y will help … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining the significance of the current study".
Example Sentence: "Understanding the link between X and Y will help …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences) | The experimental work presented here provides one of the first investigations into how … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences)".
Example Sentence: "The experimental work presented here provides one of the first investigations into how …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences) | I became interested in Xs after reading ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences)".
Example Sentence: "I became interested in Xs after reading ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences) | I have worked closely with X for many years and ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences)".
Example Sentence: "I have worked closely with X for many years and ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences) | This research complements an earlier study which … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Giving reasons for personal interest in the research (sometimes found in the humanities, and the applied human sciences)".
Example Sentence: "This research complements an earlier study which …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining keywords (also refer to Defining Terms) | This project was conceived during my time working for X. As a medical advisor, I witnessed … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining keywords (also refer to Defining Terms)".
Example Sentence: "This project was conceived during my time working for X. As a medical advisor, I witnessed …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining keywords (also refer to Defining Terms) | Throughout this paper, the term ‘X’ will refer to ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining keywords (also refer to Defining Terms)".
Example Sentence: "Throughout this paper, the term ‘X’ will refer to ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining keywords (also refer to Defining Terms) | The term ‘X’ will be used in this thesis to refer to … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining keywords (also refer to Defining Terms)".
Example Sentence: "The term ‘X’ will be used in this thesis to refer to …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Explaining keywords (also refer to Defining Terms) | Historically, the term ‘X’ has been used to describe … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Explaining keywords (also refer to Defining Terms)".
Example Sentence: "Historically, the term ‘X’ has been used to describe …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the limitations of the current study | While a variety of definitions of the term ‘X’ have been suggested, this paper will use the definition first suggested by Smith (1968) who saw it as … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the limitations of the current study".
Example Sentence: "While a variety of definitions of the term ‘X’ have been suggested, this paper will use the definition first suggested by Smith (1968) who saw it as …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the limitations of the current study | The thesis does not engage with ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the limitations of the current study".
Example Sentence: "The thesis does not engage with ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the limitations of the current study | It is not the task of this paper to examine … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the limitations of the current study".
Example Sentence: "It is not the task of this paper to examine …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Describing the limitations of the current study | This study is unable to encompass the entire … | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Describing the limitations of the current study".
Example Sentence: "This study is unable to encompass the entire …". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Outlining the structure of a short paper | Due to practical constraints, this paper cannot provide a comprehensive review of... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Outlining the structure of a short paper".
Example Sentence: "Due to practical constraints, this paper cannot provide a comprehensive review of...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Outlining the structure of a short paper | The first section of this paper will examine ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Outlining the structure of a short paper".
Example Sentence: "The first section of this paper will examine ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Outlining the structure of a short paper | This paper begins by ... It will then go on to ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Outlining the structure of a short paper".
Example Sentence: "This paper begins by ... It will then go on to ...". [/INST] |
C154945302 | Artificial intelligence | field of computer science and engineering practices for intelligence demonstrated by machines and intelligent agents | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation | [
{
"display_name": "Computer science",
"id": "https://openalex.org/C41008148",
"level": 0,
"score": 0.8015775,
"wikidata": "https://www.wikidata.org/wiki/Q21198"
},
{
"display_name": "Deep learning",
"id": "https://openalex.org/C108583219",
"level": 2,
"score": 0.7103696,
"wikidata": "https://www.wikidata.org/wiki/Q197536"
},
{
"display_name": "Artificial intelligence",
"id": "https://openalex.org/C154945302",
"level": 1,
"score": 0.6422157,
"wikidata": "https://www.wikidata.org/wiki/Q11660"
},
{
"display_name": "Abstraction",
"id": "https://openalex.org/C124304363",
"level": 2,
"score": 0.6072902,
"wikidata": "https://www.wikidata.org/wiki/Q673661"
},
{
"display_name": "Representation (politics)",
"id": "https://openalex.org/C2776359362",
"level": 3,
"score": 0.5885506,
"wikidata": "https://www.wikidata.org/wiki/Q2145286"
},
{
"display_name": "Layer (electronics)",
"id": "https://openalex.org/C2779227376",
"level": 2,
"score": 0.47483593,
"wikidata": "https://www.wikidata.org/wiki/Q6505497"
},
{
"display_name": "Object (grammar)",
"id": "https://openalex.org/C2781238097",
"level": 2,
"score": 0.45451212,
"wikidata": "https://www.wikidata.org/wiki/Q175026"
},
{
"display_name": "Backpropagation",
"id": "https://openalex.org/C155032097",
"level": 3,
"score": 0.44843948,
"wikidata": "https://www.wikidata.org/wiki/Q798503"
},
{
"display_name": "Convolutional neural network",
"id": "https://openalex.org/C81363708",
"level": 2,
"score": 0.4377303,
"wikidata": "https://www.wikidata.org/wiki/Q17084460"
},
{
"display_name": "Pattern recognition (psychology)",
"id": "https://openalex.org/C153180895",
"level": 2,
"score": 0.42470092,
"wikidata": "https://www.wikidata.org/wiki/Q7148389"
},
{
"display_name": "Feature learning",
"id": "https://openalex.org/C59404180",
"level": 2,
"score": 0.42264658,
"wikidata": "https://www.wikidata.org/wiki/Q17013334"
},
{
"display_name": "Speech recognition",
"id": "https://openalex.org/C28490314",
"level": 1,
"score": 0.35645497,
"wikidata": "https://www.wikidata.org/wiki/Q189436"
}
] | Introducing Work | Outlining the structure of a short paper | The essay has been organised in the following way: ... | [INST] Please produce a sentence from the paper. The sentence should not mention the title of the paper, rather it be extracted from the Introducing Work section of the paper.
Please provide one singular full sentence from the paper that serves the function provided, using the example as guidance. Be specific, using relevant terminology from the paper.
Refrain from vague or generic statements. Finally produce a search query in the form of a question targeted towards the knowledge contained therein.
You must output json with the structure of {'Sentence': sentence, 'Query': query}.
Field: "Artificial intelligence".
Paper: "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"
Function: "Outlining the structure of a short paper".
Example Sentence: "The essay has been organised in the following way: ...". [/INST] |
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