metadata
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: PICO Annotation
homepage: https://github.com/Markus-Zlabinger/pico-annotation
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
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",
}