A hybrid approach to finding phenotype candidates in genetic texts

24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers

Volumn , Issue , 2012, Pages 647-662

  Collier, Nigel ^a,b   Tran, Mai Vu ^a,c   Le, Hoang Quynh ^a,c   Oellrich, Anika ^d   Kawazoe, Ai ^a   Hall May, Martin ^e   Rebholz Schuhmann, Dietrich ^b,f  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^c VIETNAM NATIONAL UNIVERSITY   (Viet Nam)

^d WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^e UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^f UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Biomedicine; Conditional random fields; Genetic disorders; Machine learning; Text mining

Indexed keywords

BIOMEDICINE; CONDITIONAL RANDOM FIELD; GENETIC DISORDERS; KNOWLEDGE-BASED METHODS; NAMED ENTITY RECOGNITION; STATE-OF-THE-ART TECHNIQUES; SYSTEMATIC SEARCHES; TEXT MINING;

COMPUTATIONAL LINGUISTICS; DATA MINING; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SEMANTICS; TEXT PROCESSING;

GENES;

EID: 84876815317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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