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bigbio/bear

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Hugging Face2024-10-20 更新2025-04-12 收录
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--- language: - en bigbio_language: - English license: cc-by-sa-4.0 multilinguality: monolingual bigbio_license_shortname: CC_BY_SA_4p0 pretty_name: BEAR homepage: https://www.ims.uni-stuttgart.de/en/research/resources/corpora/bioclaim/ bigbio_pubmed: False bigbio_public: True bigbio_tasks: - NAMED_ENTITY_RECOGNITION - RELATION_EXTRACTION --- # Dataset Card for BEAR ## Dataset Description - **Homepage:** https://www.ims.uni-stuttgart.de/en/research/resources/corpora/bioclaim/ - **Pubmed:** False - **Public:** True - **Tasks:** NER, RE A dataset of 2100 Twitter posts annotated with 14 different types of biomedical entities (e.g., disease, treatment, risk factor, etc.) and 20 relation types (including caused, treated, worsens, etc.). ## Citation Information ``` @InProceedings{wuehrl_klinger_2022, author = {Wuehrl, Amelie and Klinger, Roman}, title = {Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)}, booktitle = {Proceedings of The 13th Language Resources and Evaluation Conference}, month = {June}, year = {2022}, address = {Marseille, France}, publisher = {European Language Resources Association} } ```
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