Boosting performance of gene mention tagging system by hybrid methods

Journal of Biomedical Informatics

Volumn 45, Issue 1, 2012, Pages 156-164

  Li, Lishuang ^a   Fan, Wenting ^a   Huang, Degen ^a   Dang, Yanzhong ^a   Sun, Jing ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Bioinformatics; Biomedical literature; Gene mention tagging; Hybrid methods; Named entity recognition

Indexed keywords

BIOMEDICAL LITERATURE; ENSEMBLE SYSTEMS; F-MEASURE; HYBRID METHOD; HYBRID MODEL; MAXIMUM ENTROPY; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; POST PROCESSING; RESEARCH QUESTIONS; SET OPERATION; STATE-OF-THE-ART SYSTEM; TAGGING SYSTEMS; TRAINING METHODS; TWO LAYERS; VOTING METHOD;

BIOINFORMATICS; COMPUTATIONAL LINGUISTICS; GENES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ARTICLE; CHEMICAL ANALYSIS; CHEMICAL REACTION; DNA HYBRIDIZATION; GENE MENTION TAGGING SYSTEM; GENETIC PARAMETERS; HYBRID; PRIORITY JOURNAL;

COMPUTATIONAL BIOLOGY; GENES; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; VOCABULARY, CONTROLLED;

EID: 84856393533     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.10.004     Document Type: Article

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