bigbio/pico_extraction

language:

• —en bigbio_language:
• —English license: unknown multilinguality: monolingual bigbiolicenseshortname: UNKNOWN prettyname: PICO Annotation homepage: https://github.com/Markus-Zlabinger/pico-annotation bigbiopubmed: True bigbiopublic: True bigbiotasks:
• —NAMEDENTITYRECOGNITION ---

Dataset Card for PICO Annotation

Dataset Description

• —Homepage: https://github.com/Markus-Zlabinger/pico-annotation
• —Pubmed: True
• —Public: True
• —Tasks: NER

This dataset contains annotations for Participants, Interventions, and Outcomes (referred to as PICO task). For 423 sentences, annotations collected by 3 medical experts are available. To get the final annotations, we perform the majority voting.

Citation Information

@inproceedings{zlabinger-etal-2020-effective,
    title = "Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports",
    author = {Zlabinger, Markus  and
      Sabou, Marta  and
      Hofst{"a}tter, Sebastian  and
      Hanbury, Allan},
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.findings-emnlp.274",
    doi = "10.18653/v1/2020.findings-emnlp.274",
    pages = "3064--3074",
}