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--- |
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language: |
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- en |
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bigbio_language: |
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- English |
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license: other |
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multilinguality: monolingual |
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bigbio_license_shortname: PUBLIC_DOMAIN_MARK_1p0 |
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pretty_name: BC5CDR |
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homepage: http://www.biocreative.org/tasks/biocreative-v/track-3-cdr/ |
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bigbio_pubmed: True |
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bigbio_public: True |
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bigbio_tasks: |
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- NAMED_ENTITY_RECOGNITION |
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- NAMED_ENTITY_DISAMBIGUATION |
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- RELATION_EXTRACTION |
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--- |
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# Dataset Card for BC5CDR |
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## Dataset Description |
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- **Homepage:** http://www.biocreative.org/tasks/biocreative-v/track-3-cdr/ |
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- **Pubmed:** True |
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- **Public:** True |
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- **Tasks:** NER,NED,RE |
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The BioCreative V Chemical Disease Relation (CDR) dataset is a large annotated text corpus of human annotations of all chemicals, diseases and their interactions in 1,500 PubMed articles. |
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## Citation Information |
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``` |
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@article{DBLP:journals/biodb/LiSJSWLDMWL16, |
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author = {Jiao Li and |
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Yueping Sun and |
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Robin J. Johnson and |
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Daniela Sciaky and |
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Chih{-}Hsuan Wei and |
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Robert Leaman and |
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Allan Peter Davis and |
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Carolyn J. Mattingly and |
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Thomas C. Wiegers and |
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Zhiyong Lu}, |
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title = {BioCreative {V} {CDR} task corpus: a resource for chemical disease |
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relation extraction}, |
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journal = {Database J. Biol. Databases Curation}, |
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volume = {2016}, |
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year = {2016}, |
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url = {https://doi.org/10.1093/database/baw068}, |
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doi = {10.1093/database/baw068}, |
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timestamp = {Thu, 13 Aug 2020 12:41:41 +0200}, |
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biburl = {https://dblp.org/rec/journals/biodb/LiSJSWLDMWL16.bib}, |
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bibsource = {dblp computer science bibliography, https://dblp.org} |
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} |
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``` |
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