---

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},
}