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pipeline_tag: text-classification
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This is a fine-tuned BERT-based language model to classify NLP-related research papers as "Survey" or "Non-Survey" papers. The model is fine-tuned on a dataset of 787 survey and 11,805 non-survey papers from the ACL Anthology and the arXiv cs.CL category. Prior to fine-tuning, the model is initialized with weights from
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## How to use the fine-tuned model
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pipeline_tag: text-classification
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This is a fine-tuned BERT-based language model to classify NLP-related research papers as "Survey" or "Non-Survey" papers. The model is fine-tuned on a dataset of 787 survey and 11,805 non-survey papers from the ACL Anthology and the arXiv cs.CL category. Prior to fine-tuning, the model is initialized with weights from [malteos/scincl](https://huggingface.co/malteos/scincl).
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## How to use the fine-tuned model
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