metadata

language:
  - en
bigbio_language:
  - English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: SCAI Disease
homepage: >-
  https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpus-for-disease-names-and-adverse-effects.html
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - NAMED_ENTITY_RECOGNITION

Dataset Card for SCAI Disease

Dataset Description

Homepage: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpus-for-disease-names-and-adverse-effects.html
Pubmed: True
Public: True
Tasks: NER

SCAI Disease is a dataset annotated in 2010 with mentions of diseases and adverse effects. It is a corpus containing 400 randomly selected MEDLINE abstracts generated using ‘Disease OR Adverse effect’ as a PubMed query. This evaluation corpus was annotated by two individuals who hold a Master’s degree in life sciences.

Citation Information

@inproceedings{gurulingappa:lrec-ws10,
  author    = {Harsha Gurulingappa and Roman Klinger and Martin Hofmann-Apitius and Juliane Fluck},
  title     = {An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical Literature},
  booktitle = {LREC Workshop on Building and Evaluating Resources for Biomedical Text Mining},
  year      = {2010},
}