BioCreative V CDR task corpus: a resource for chemical disease relation extraction

• Published in: Database : the journal of biological databases and curation Vol. 2016; p. baw068
• Main Authors: Li, Jiao, Sun, Yueping, Johnson, Robin J, Sciaky, Daniela, Wei, Chih-Hsuan, Leaman, Robert, Davis, Allan Peter, Mattingly, Carolyn J, Wiegers, Thomas C, Lu, Zhiyong
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 2016
• Subjects: Computational Biology - methods; Data Mining - methods; Databases, Factual; Disease; Humans; Original; Toxicogenetics - methods

Community-run, formal evaluations and manually annotated text corpora are critically important for advancing biomedical text-mining research. Recently in BioCreative V, a new challenge was organized for the tasks of disease named entity recognition (DNER) and chemical-induced disease (CID) relation...