BIOADI: A machine learning approach to identifying abbreviations and definitions in biological literature

BMC Bioinformatics

Volumn 10, Issue SUPPL. 15, 2009, Pages

  Kuo, Cheng Ju ^a   Ling, Maurice H T ^b,d   Lin, Kuan Ting ^a,c   Hsu, Chun Nan ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b SINGAPORE POLYTECHNIC   (Singapore)

^c NATIONAL YANG MING UNIVERSITY   (Taiwan)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ARTIFICIAL INTELLIGENCE; DATA MINING; GENES; LEARNING SYSTEMS; CHARACTER RECOGNITION;

ABBREVIATION RECOGNITION; BIOLOGICAL LITERATURES; BUILDING BLOCKES; MACHINE LEARNING APPROACHES; PERFORMANCE SYSTEM; RICH FEATURES; TEXT DATABASE; TRAINING DATA; BIO-MEDICAL; CURATION; F-SCORE; FREE TEXTS; INDEX TERMS; LEARNING APPROACH; MACHINE-LEARNING; TEXT MINING;

CHARACTER RECOGNITION; BIOINFORMATICS;

ACCURACY; ARTICLE; COMPUTER INTERFACE; COMPUTER PROGRAM; CONTROLLED STUDY; DATA MINING; INFORMATION RETRIEVAL; INFORMATION SYSTEM; LEARNING ALGORITHM; MACHINE LEARNING; MEDICAL LITERATURE; MEDICAL RESEARCH; NOMENCLATURE; PERFORMANCE; PROTEIN DATABASE; RECOGNITION; TRAINING; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGY; MEDLINE; METHODOLOGY; NATURAL LANGUAGE PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA MINING; NATURAL LANGUAGE PROCESSING; PUBMED; SOFTWARE;

EID: 71549126819     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S15-S7     Document Type: Article

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