A scalable machine-learning approach to recognize chemical names within large text databases

BMC Bioinformatics

Volumn 7, Issue SUPPL.2, 2006, Pages

  Wren, Jonathan D ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FIRST-ORDER MARKOV MODEL; MACHINE-LEARNING; NAME RECOGNITION; NAMED ENTITIES; REFERENCE DATABASE; SCIENTIFIC FIELDS; TEXT DATABASE; TEXTUAL INFORMATION;

CHARACTER RECOGNITION; DATABASE SYSTEMS; MARKOV PROCESSES; NATURAL LANGUAGE PROCESSING SYSTEMS;

CHEMICAL ANALYSIS;

8 (4 SULFOPHENYL)THEOPHYLLINE; CHEMICAL COMPOUND;

ACCURACY; ARTICLE; CONTROLLED STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FULL TEXT DATABASE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; MACHINE LEARNING; MEDLINE; NOMENCLATURE; PROBABILITY; REFERENCE VALUE; SCORING SYSTEM; BIOLOGY; METHODOLOGY;

COMPUTATIONAL BIOLOGY; MARKOV CHAINS; MEDLINE; PUBMED;

EID: 33947301571     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-S2-S3     Document Type: Article

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