Comparing the utility of state features in spoken dialogue using reinforcement learning

HLT-NAACL 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2006, Pages 272-279

  Tetreault, Joel R ^a   Litman, Diane J ^b  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b University of Pittsburgh   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MACHINE LEARNING; SPEECH PROCESSING;

IT IMPACT; POLICY DEVELOPMENT; RELATIVE UTILITY; SPOKEN DIALOGUE; SPOKEN DIALOGUE SYSTEM; STATE FEATURE; TUTORING SYSTEM;

REINFORCEMENT LEARNING;

EID: 74049119541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220835.1220870     Document Type: Conference Paper

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