Researchers have introduced SciNLP, a new benchmark for full-text scientific entity and relation extraction in the NLP domain, which includes 60 annotated publications with over 6,400 entities and 1,600 relations. This dataset is significant as it provides comprehensive annotations of full texts, unlike existing datasets that focus on specific sections, thereby offering better performance for models trained to extract information from varied academic text lengths.
Read the full article at arXiv cs.CL (NLP)
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Ali NematiWritten by Ali
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