Link-topic model for biomedical abbreviation disambiguation

Journal of Biomedical Informatics

Volumn 53, Issue , 2015, Pages 367-380

  Kim, Seonho ^a   Yoon, Juntae ^b  

^a Sogang University   (South Korea)

^b Yungjeon Bldg   (South Korea)

Author keywords

Biomedical abbreviation disambiguation; Global abbreviation; Latent Dirichlet allocation; Semantic link; Topic model

Indexed keywords

ABSTRACTING; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; STATISTICS; TEXT MINING;

BIOMEDICAL ABBREVIATION DISAMBIGUATION; GLOBAL ABBREVIATION; LATENT DIRICHLET ALLOCATION; SEMANTIC LINK; TOPIC MODELING;

INFORMATION RETRIEVAL;

ACCURACY; ARTICLE; BIOMEDICAL ABBREVIATION DISAMBIGUATION SYSTEM; HEALTH CARE CONCEPTS; INFORMATION MODEL; LINGUISTICS; LINK TOPIC MODEL; MEDICAL RESEARCH; MEDICAL TERMINOLOGY; PERFORMANCE; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; UNIFIED MEDICAL LANGUAGE SYSTEM; ALGORITHM; COMPUTER PROGRAM; INFORMATION RETRIEVAL; MEDICAL SUBJECT HEADINGS; MEDLINE; NATURAL LANGUAGE PROCESSING; PROBABILITY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; INFORMATION STORAGE AND RETRIEVAL; LINGUISTICS; MEDICAL SUBJECT HEADINGS; MEDLINE; MODELS, STATISTICAL; NATURAL LANGUAGE PROCESSING; PROBABILITY; REPRODUCIBILITY OF RESULTS; SOFTWARE; SUPPORT VECTOR MACHINE; UNIFIED MEDICAL LANGUAGE SYSTEM;

EID: 84924523668     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.12.013     Document Type: Article

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