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Volumn 1, Issue , 2006, Pages 185-192

Learning more effective dialogue strategies using limited dialogue move features

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; REINFORCEMENT LEARNING; SPEECH PROCESSING;

EID: 84860536786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220175.1220199     Document Type: Conference Paper
Times cited : (34)

References (18)
  • 2
    • 51349089807 scopus 로고    scopus 로고
    • Dipper: Description and formalisation of an information-state update dialogue system architecture
    • Sapporo
    • Johan Bos, Ewan Klein, Oliver Lemon, and Tetsushi Oka. 2003. Dipper: Description and formalisation of an information-state update dialogue system architecture. In 4th SIGdial Workshop on Discourse and Dialogue, Sapporo.
    • (2003) 4th SIGdial Workshop on Discourse and Dialogue
    • Bos, J.1    Klein, E.2    Lemon, O.3    Oka, T.4
  • 3
    • 1842653460 scopus 로고    scopus 로고
    • Cambridge University Press
    • Herbert H. Clark. 1996. Using Language. Cambridge University Press.
    • (1996) Using Language
    • Clark, H.H.1
  • 9
    • 85009087667 scopus 로고    scopus 로고
    • Information state and dialogue management in the TRINDI dialogue move engine toolkit
    • Staffan Larsson and David Traum. 2000. Information state and dialogue management in the TRINDI Dialogue Move Engine Toolkit. Natural Language Engineering, 6(3-4):323.340.
    • (2000) Natural Language Engineering , vol.6 , Issue.3-4 , pp. 323-340
    • Larsson, S.1    Traum, D.2
  • 10
    • 85135155957 scopus 로고    scopus 로고
    • A stochastic model of computer-human interaction for learning dialogue strategies
    • Rhodes,Greece
    • Esther Levin and Roberto Pieraccini. 1997. A stochastic model of computer-human interaction for learning dialogue strategies. In Eurospeech, Rhodes,Greece.
    • (1997) Eurospeech
    • Levin, E.1    Pieraccini, R.2
  • 12
    • 85119956249 scopus 로고    scopus 로고
    • Using machine learning to explore human multimodal clarification strategies
    • Verena Rieser and Oliver Lemon. 2006. Using machine learning to explore human multimodal clarification strategies. In Proc. ACL.
    • (2006) Proc. ACL
    • Rieser, V.1    Lemon, O.2
  • 13
    • 26444501616 scopus 로고    scopus 로고
    • Corpusbased dialogue simulation for automatic strategy learning and evaluation
    • Pittsburgh, USA
    • Konrad Scheffler and Steve Young. 2001. Corpusbased dialogue simulation for automatic strategy learning and evaluation. In NAACL-2001 Workshop on Adaptation in Dialogue Systems, Pittsburgh, USA.
    • (2001) NAACL-2001 Workshop on Adaptation in Dialogue Systems
    • Scheffler, K.1    Young, S.2
  • 14
    • 0004097793 scopus 로고
    • Cambridge University Press
    • John R. Searle. 1969. Speech Acts. Cambridge University Press.
    • (1969) Speech Acts
    • Searle, J.R.1
  • 17
    • 84974698591 scopus 로고    scopus 로고
    • Towards developing general models of usability with PARADISE
    • Marilyn A. Walker, Candace A. Kamm, and Diane J. Litman. 2000. Towards Developing General Models of Usability with PARADISE. Natural Language Engineering, 6(3).
    • (2000) Natural Language Engineering , vol.6 , Issue.3
    • Walker, M.A.1    Kamm, C.A.2    Litman, D.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.