|
|
|
--- |
|
language: |
|
- en |
|
bigbio_language: |
|
- English |
|
license: unknown |
|
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:** Named Entity Recognition |
|
|
|
|
|
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", |
|
} |
|
|
|
``` |
|
|
