Clinical entity recognition using structural support vector machines with rich features

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2012, Pages 13-19

  Tang, Buzhou ^a   Cao, Hongxin ^a,b   Wu, Yonghui ^a   Jiang, Min ^a   Xu, Hua ^a  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b SECOND MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Conditional random fields; Named entity recognition; Natural language processing; Structural support vector machines; Support vector machines

Indexed keywords

CONCEPT EXTRACTION; CONDITIONAL RANDOM FIELD; CONDITIONAL RANDOM FIELDS (CRFS); ENTITY RECOGNITION; F-MEASURE; HOSPITAL DISCHARGE; LABELING ALGORITHMS; MARGIN THEORY; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; NER SYSTEM; STRUCTURAL SUPPORT; TEST SETS; TRAINING TIME; WORD REPRESENTATIONS;

BIOINFORMATICS; DATA MINING; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; RANDOM PROCESSES; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84870518953     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2390068.2390073     Document Type: Conference Paper

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