Distinguishing the species of biomedical named entities for term identification

BMC Bioinformatics

Volumn 9, Issue SUPPL. 11, 2008, Pages

  Wang, Xinglong ^a,b   Matthews, Michael ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HYBRID METHOD; MACHINE-LEARNING; MODEL ORGANISMS; MULTIPLE-MODELING; NAMED ENTITIES; NUMBER OF SPECIES; OVERALL ACCURACIES; RULE BASED;

ACCURACY; AMBIGUITY; CONFERENCE PAPER; CONTROLLED STUDY; DATA BASE; GOLD STANDARD; HUMAN; HYBRID COMPUTER; INTEGRATION; LEARNING ALGORITHM; MACHINE LEARNING; MEDICAL INFORMATION SYSTEM; NOMENCLATURE; NONHUMAN; SPECIES IDENTIFICATION; SYSTEM ANALYSIS; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; DOCUMENTATION; INFORMATION RETRIEVAL; METHODOLOGY; NATURAL LANGUAGE PROCESSING; SPECIES DIFFERENCE;

ABSTRACTING AND INDEXING AS TOPIC; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES AS TOPIC; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; SPECIES SPECIFICITY; TERMINOLOGY AS TOPIC;

EID: 56649083754     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S11-S6     Document Type: Conference Paper

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