Strategies for statistical spoken language understanding with small amount of data - An empirical study

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2498-2501

  Wang, Ye Yi ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Classification; Conditional random fields; Maximum entropy model; Spoken language understanding

Indexed keywords

CLASSIFICATION (OF INFORMATION); SEMANTICS; SPEECH COMMUNICATION; SPEECH RECOGNITION;

APPLICATION DEVELOPERS; APPLICATION SCENARIO; CLASSIFICATION ACCURACY; CONDITIONAL MODELS; CONDITIONAL RANDOM FIELD; FILLING SOLUTIONS; MAXIMUM ENTROPY MODELING; SPOKEN LANGUAGE UNDERSTANDING; EMPIRICAL STUDIES; FRAME-BASED; MAXIMUM ENTROPY MODELS; MODELLING FRAMEWORK; RANDOM FIELDS; SEMANTIC FRAMES; TRAINING DATA;

FILLING;

EID: 79959824388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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