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Volumn , Issue , 2014, Pages 360-365

Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation

Author keywords

Dialog state tracking; Dialog systems; Spoken language understanding

Indexed keywords

COMPUTATIONAL LINGUISTICS; SEMANTICS; SPEECH RECOGNITION;

EID: 84941346354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2014.7078601     Document Type: Conference Paper
Times cited : (111)

References (15)
  • 3
    • 84987909321 scopus 로고    scopus 로고
    • Multi-domain learning and generalization in dialog state tracking
    • August
    • Jason Williams, "Multi-domain learning and generalization in dialog state tracking, " in Proceedings of SIGDIAL, August 2013.
    • (2013) Proceedings of SIGDIAL
    • Williams, J.1
  • 4
    • 84987994665 scopus 로고    scopus 로고
    • Web-style ranking and SLU combination for dialog state tracking
    • Jason Williams, "Web-style ranking and SLU combination for dialog state tracking, " in Proceedings of SIGDIAL, 2014.
    • (2014) Proceedings of SIGDIAL
    • Williams, J.1
  • 5
    • 84987895197 scopus 로고    scopus 로고
    • Deep neural network approach for the dialog state tracking challenge
    • Matthew Henderson, Blaise Thomson, and Steve Young, "Deep Neural Network Approach for the Dialog State Tracking Challenge, " in Proceedings of SIGDIAL, 2013.
    • (2013) Proceedings of SIGDIAL
    • Henderson, M.1    Thomson, B.2    Young, S.3
  • 6
    • 84987916141 scopus 로고    scopus 로고
    • A simple and generic belief tracking mechanism for the dialog state tracking challenge: On the believability of observed information
    • Zhuoran Wang and Oliver Lemon, "A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information, " in Proceedings of SIGDIAL 2013, 2013.
    • (2013) Proceedings of SIGDIAL 2013
    • Wang, Z.1    Lemon, O.2
  • 7
    • 84987870680 scopus 로고    scopus 로고
    • Recipe for building robust spoken dialog state trackers: Dialog state tracking challenge system description
    • Sungjin Lee and Maxine Eskenazi, "Recipe For Building Robust Spoken Dialog State Trackers: Dialog State Tracking Challenge System Description, " in Proceedings of the SIGDIAL 2013 Conference, 2013.
    • (2013) Proceedings of the SIGDIAL 2013 Conference
    • Lee, S.1    Eskenazi, M.2
  • 8
    • 84987892114 scopus 로고    scopus 로고
    • Structured discriminative model for dialog state tracking
    • Sungjin Lee, "Structured Discriminative Model For Dialog State Tracking, " in Proceedings of SIGDIAL 2013, 2013.
    • (2013) Proceedings of SIGDIAL 2013
    • Lee, S.1
  • 9
    • 84987909397 scopus 로고    scopus 로고
    • Dialog state tracking using conditional random fields
    • Hang Ren, Weiqun Xu, Yan Zhang, and Yonghong Yan, "Dialog State Tracking using Conditional Random Fields, " in Proceedings of SIGDIAL, 2013.
    • (2013) Proceedings of SIGDIAL
    • Ren, H.1    Xu, W.2    Zhang, Y.3    Yan, Y.4
  • 10
    • 84988023678 scopus 로고    scopus 로고
    • Word-based dialog state tracking with recurrent neural networks
    • Matthew Henderson, Blaise Thomson, and Steve Young, "Word-based Dialog State Tracking with Recurrent Neural Networks, " in Proceedings of SIGdial, 2014.
    • (2014) Proceedings of SIGdial
    • Henderson, M.1    Thomson, B.2    Young, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.