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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: unknown |
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multilinguality: monolingual |
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bigbio_license_shortname: UNKNOWN |
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pretty_name: EBM NLP |
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homepage: https://github.com/bepnye/EBM-NLP |
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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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--- |
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# Dataset Card for EBM NLP |
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## Dataset Description |
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- **Homepage:** https://github.com/bepnye/EBM-NLP |
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- **Pubmed:** True |
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- **Public:** True |
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- **Tasks:** NER |
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This corpus release contains 4,993 abstracts annotated with (P)articipants, |
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(I)nterventions, and (O)utcomes. Training labels are sourced from AMT workers and |
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aggregated to reduce noise. Test labels are collected from medical professionals. |
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## Citation Information |
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``` |
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@inproceedings{nye-etal-2018-corpus, |
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title = "A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature", |
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author = "Nye, Benjamin and |
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Li, Junyi Jessy and |
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Patel, Roma and |
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Yang, Yinfei and |
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Marshall, Iain and |
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Nenkova, Ani and |
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Wallace, Byron", |
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booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", |
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month = jul, |
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year = "2018", |
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address = "Melbourne, Australia", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/P18-1019", |
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doi = "10.18653/v1/P18-1019", |
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pages = "197--207", |
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} |
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|
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``` |
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