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Volumn , Issue , 2006, Pages 289-296

Using reinforcement learning to build a better model of dialogue state

Author keywords

[No Author keywords available]

Indexed keywords

DIALOGUE ACTS; DIALOGUE MANAGER; DIALOGUE SYSTEMS; SPOKEN DIALOGUE; SPOKEN DIALOGUE SYSTEM; TUTORING SYSTEM;

EID: 84893429929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (14)
  • 1
    • 38749109275 scopus 로고    scopus 로고
    • Hedged responses and expressions of affect in human/human and human computer tutorial interactions
    • K. Bhatt, M. Evens, and S. Argamon. 2004. Hedged responses and expressions of affect in human/human and human computer tutorial interactions. In Proc. Cognitive Science.
    • (2004) Proc. Cognitive Science
    • Bhatt, K.1    Evens, M.2    Argamon, S.3
  • 3
    • 84857722379 scopus 로고    scopus 로고
    • Using bigrams to identify relationships between student certainness states and tutor responses in a spoken dialogue corpus
    • K. Forbes-Riley and D. Litman. 2005. Using bigrams to identify relationships between student certainness states and tutor responses in a spoken dialogue corpus. In SIGDial.
    • (2005) SIGDial
    • Forbes-Riley, K.1    Litman, D.2
  • 4
    • 33646860270 scopus 로고    scopus 로고
    • Dialogue-learning correlations in spoken dialogue tutoring
    • K. Forbes-Riley, D. Litman, A. Huettner, and A. Ward. 2005. Dialogue-learning correlations in spoken dialogue tutoring. In AIED.
    • (2005) AIED
    • Forbes-Riley, K.1    Litman, D.2    Huettner, A.3    Ward, A.4
  • 6
    • 33846189186 scopus 로고    scopus 로고
    • Learning user simulations for information state update dialogue systems
    • K. Georgila, J. Henderson, and O. Lemon. 2005. Learning user simulations for information state update dialogue systems. In Interspeech.
    • (2005) Interspeech
    • Georgila, K.1    Henderson, J.2    Lemon, O.3
  • 10
    • 0037841376 scopus 로고    scopus 로고
    • Optimizing dialoguemanagment with reinforcement learning: Experiments with the njfun system
    • S. Singh, D. Litman, M. Kearns, and M. Walker. 2002. Optimizing dialoguemanagment with reinforcement learning: Experiments with the njfun system. JAIR, 16.
    • (2002) JAIR , pp. 16
    • Singh, S.1    Litman, D.2    Kearns, M.3    Walker, M.4
  • 12
    • 14344279109 scopus 로고    scopus 로고
    • An application of reinforcement learning to dialogue strategy selection in a spoken dialogue system for email
    • M. Walker. 2000. An application of reinforcement learning to dialogue strategy selection in a spoken dialogue system for email. JAIR, 12.
    • (2000) JAIR , pp. 12
    • Walker, M.1
  • 13
    • 85118874370 scopus 로고    scopus 로고
    • Using wizard-of-oz simulations to bootstrap reinforcement learning-based dialog management systems
    • J. Williams and S. Young. 2003. Using wizard-of-oz simulations to bootstrap reinforcement learning-based dialog management systems. In 4th SIGdial Workshop on Discourse and Dialogue.
    • (2003) 4th SIGdial Workshop on Discourse and Dialogue
    • Williams, J.1    Young, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.