Question classification based on co-training style semi-supervised learning

Pattern Recognition Letters

Volumn 31, Issue 13, 2010, Pages 1975-1980

  Yu, Zhengtao ^a,b   Su, Lei ^c   Li, Lina ^a   Zhao, Quan ^a   Mao, Cunli ^a   Guo, Jianyi ^a,b  

^a KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Institute of Intelligent Information Processing   (China)

^c YUNNAN UNIVERSITY   (China)

Author keywords

Chinese question classification; Co training; Semi supervised learning; Word semantic similarity

Indexed keywords

ACCURACY RATE; CHINESE QUESTION; CHINESE QUESTION ANSWERING SYSTEM; CLASSIFICATION ACCURACY; CLASSIFICATION FEATURES; CO-TRAINING; FEATURE DIMENSIONS; FEATURE SELECTION; FEATURE WEIGHT; HIGH FREQUENCY HF; LABELED DATA; QUESTION CLASSIFICATION; SEMANTIC SIMILARITY; SEMI-SUPERVISED ALGORITHM; SEMI-SUPERVISED LEARNING; TRAINING SETS; UNLABELED DATA; UNLABELED SAMPLES; WORD SEMANTIC SIMILARITY;

CLASSIFIERS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

SUPERVISED LEARNING;

EID: 77956057508     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.06.010     Document Type: Article

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