Learning conditional random fields from unaligned data for natural language understanding

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6611 LNCS, Issue , 2011, Pages 283-288

  Zhou, Deyu ^a   He, Yulan ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; INFORMATION RETRIEVAL; MAXIMUM PRINCIPLE; SEMANTICS; SUPPORT VECTOR MACHINES;

ABSTRACT SEMANTICS; CONDITIONAL RANDOM FIELD; DISCRIMINATIVE MODELS; DISCRIMINATIVE TRAINING; EXPECTATION-MAXIMIZATION ALGORITHMS; LEARNING APPROACH; LEARNING FRAMEWORKS; NATURAL LANGUAGE UNDERSTANDING;

IMAGE SEGMENTATION;

EID: 84874272789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20161-5_28     Document Type: Conference Paper

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