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README.md
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# Model Card for Model ID
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This model provides a ready-to-go temporal expression normalization tool.
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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We present a series of multilingual temporal expression normalization models. Proposed in the {paper}.
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This model has been trained over Timebank and E3C multilingual corpora with the sole objevtive of normalizing temporal expressions following the ISO TimeML schema.
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A temporal expression is classified into four types: Date, Time, Duration and Set. This model predicts the value of a temporal expression.
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For example for the expression of type duration "8 hours" the model would predict the value PT8H.
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- **Developed by:** Alejandro Sánchez de Castro, Lourdes Araujo and Juan Martínez-Romo
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- **Funded by:** funded by the following projects DOTT-HEALTH (MCI/AEI/FEDER, UE with identification PID2019-106942RB-C32), OBSER-MENH (MCIN/AEI/10.13039/501100011033 and NextGenerationEU”/PRTR with identification TED2021-130398B-C21), SICAMESP (with identification 2023-VICE-0029) and by the project EDHER-MED (with identification PID2022-136522OB-C21)"
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- **Language(s) (NLP):** Multilingual
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### Model Sources [optional]
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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To be defined
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## Model Card Contact
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# Model Card for Model ID
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This model provides a ready-to-go temporal expression normalization tool.
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## Model Details
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### Model Description
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We present a series of multilingual temporal expression normalization models. Proposed in the {paper}.
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This model has been trained over Timebank and E3C multilingual corpora with the sole objevtive of normalizing temporal expressions following the ISO TimeML schema.
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A temporal expression is classified into four types: Date, Time, Duration and Set. This model predicts the value of a temporal expression.
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For example for the expression of type duration "8 hours" the model would predict the value PT8H.
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- **Developed by:** Alejandro Sánchez de Castro, Lourdes Araujo and Juan Martínez-Romo
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- **Language(s) (NLP):** Multilingual
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## Uses
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To be defined
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### Acklowledge:
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- **Funded by:** funded by the following projects DOTT-HEALTH (MCI/AEI/FEDER, UE with identification PID2019-106942RB-C32), OBSER-MENH (MCIN/AEI/10.13039/501100011033 and NextGenerationEU”/PRTR with identification TED2021-130398B-C21), SICAMESP (with identification 2023-VICE-0029) and by the project EDHER-MED (with identification PID2022-136522OB-C21)"
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### Model Sources [optional]
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- **Paper [optional]:** [More Information Needed]
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## Model Card Contact
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