Community challenges in biomedical text mining over 10 years: success, failure and the future

• Published in: Briefings in bioinformatics Vol. 17; no. 1; pp. 132 - 144
• Main Authors: Huang, Chung-Chi, Lu, Zhiyong
• Format: Journal Article
• Language: English
• Published: England Oxford Publishing Limited (England) 01.01.2016; Oxford University Press
• Subjects: Algorithms; Bioinformatics; Biomedical research; Computational Biology - methods; Computational Biology - trends; Data mining; Data Mining - methods; Data Mining - trends; Databases, Genetic - statistics & numerical data; Humans; medicine; Natural Language Processing; prediction; protein structure; Proteins; stakeholders; critical assessment; BioNLP shared tasks; text mining; BioNLP challenges; biomedical natural language processing (BioNLP)

One effective way to improve the state of the art is through competitions. Following the success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics research, a number of challenge evaluations have been organized by the text-mining research community to assess and adv...