| 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}, | |
| } | |
| ``` | |