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Volumn , Issue , 2007, Pages 55-58

Dialogue policy learning for combinations of noise and user simulation: Transfer results

Author keywords

[No Author keywords available]

Indexed keywords

DIALOGUE STRATEGY; KNOW-HOW; LOW NOISE; NOISE MODELS; USER SIMULATION;

EID: 84863280892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (12)
  • 1
    • 0030638118 scopus 로고    scopus 로고
    • User modelling for spoken dialogue system evaluation
    • W. Eckert, E. Levin, and R. Pieraccini. 1997. User modelling for spoken dialogue system evaluation. In Proceedings of ASRU, pages 80-87.
    • (1997) Proceedings of ASRU , pp. 80-87
    • Eckert, W.1    Levin, E.2    Pieraccini, R.3
  • 2
    • 84860536786 scopus 로고    scopus 로고
    • Learning more effective dialogue strategies using limited dialogue move features
    • Matthew Frampton and Oliver Lemon. 2006. Learning more effective dialogue strategies using limited dialogue move features. In Proceedings of ACL.
    • (2006) Proceedings of ACL
    • Frampton, M.1    Lemon, O.2
  • 3
    • 84863245388 scopus 로고    scopus 로고
    • Hybrid reinforcement/supervised learning for dialogue policies from COMMUNICATOR data
    • J. Henderson, O. Lemon, and K. Georgila. 2005. Hybrid Reinforcement/Supervised Learning for Dialogue Policies from COMMUNICATOR data. In IJCAI workshop on Dialogue Systems.
    • (2005) IJCAI Workshop on Dialogue Systems
    • Henderson, J.1    Lemon, O.2    Georgila, K.3
  • 4
    • 48749112832 scopus 로고    scopus 로고
    • Evaluating effectiveness and portability of reinforcement learned dialogue strategies with real users: The TALK TownInfo evaluation
    • O. Lemon, K. Georgila, and J. Henderson. 2006. Evaluating Effectiveness and Portability of Reinforcement Learned Dialogue Strategies with real users: the TALK TownInfo Evaluation. In Proc. ACL/IEEE SLT.
    • (2006) Proc. ACL/IEEE SLT
    • Lemon, O.1    Georgila, K.2    Henderson, J.3
  • 6
    • 79952794258 scopus 로고    scopus 로고
    • Reinforcement learning for spoken dialogue systems: Comparing strengths and weaknesses for practical deployment
    • Interspeech2006 - ICSLP Satellite Workshop
    • Tim Paek. 2006. Reinforcement learning for spoken dialogue systems: Comparing strengths and weaknesses for practical deployment. In Dialogue on Dialogues. Interspeech2006 - ICSLP Satellite Workshop.
    • (2006) Dialogue on Dialogues
    • Paek, T.1
  • 8
    • 56149117477 scopus 로고    scopus 로고
    • Learning dialogue strategies for interactive database search
    • V. Rieser and O. Lemon. 2007. Learning dialogue strategies for interactive database search. In Interspeech.
    • (2007) Interspeech
    • Rieser, V.1    Lemon, O.2
  • 10
    • 25144488373 scopus 로고    scopus 로고
    • Separating skills from preference: Using learning to program by reward
    • D. Shapiro and P. Langley. 2002. Separating skills from preference: using learning to program by reward. In Intl. Conf. on Machine Learning.
    • (2002) Intl. Conf. on Machine Learning
    • Shapiro, D.1    Langley, P.2
  • 11
    • 10044269246 scopus 로고    scopus 로고
    • Quantitative and qualitative evaluation of DARPA communicator spoken dialogue systems
    • M. Walker, R. Passonneau, and J. Boland. 2001. Quantitative and qualitative evaluation of DARPA Communicator spoken dialogue systems. In Proc. ACL.
    • (2001) Proc. ACL
    • Walker, M.1    Passonneau, R.2    Boland, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.