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

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...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 17; H. 1; S. 132 - 144
Hauptverfasser:	Huang, Chung-Chi, Lu, Zhiyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford Publishing Limited (England) 01.01.2016 Oxford University Press
Schlagworte:	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)
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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