메뉴 건너뛰기




Volumn , Issue , 2015, Pages 1711-1721

Semantically conditioned lstm-based Natural language generation for spoken dialogue systems

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH PROCESSING;

EID: 84959897734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1199     Document Type: Conference Paper
Times cited : (952)

References (51)
  • 3
    • 52149103407 scopus 로고    scopus 로고
    • Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models
    • Anja Belz. 2008. Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models. Natural Language Engineering.
    • (2008) Natural Language Engineering
    • Belz, A.1
  • 9
    • 84946054954 scopus 로고    scopus 로고
    • Distributed dialogue policies for multi-domain statistical dialogue management
    • Milica Gašić, Dongho Kim, Pirros Tsiakoulis, and Steve Young. 2015. Distributed dialogue policies for multi-domain statistical dialogue management. In In Proceedings on ICASSP.
    • (2015) Proceedings on ICASSP
    • Gašić, M.1    Kim, D.2    Tsiakoulis, P.3    Young, S.4
  • 15
    • 84941346354 scopus 로고    scopus 로고
    • Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation
    • Matthew Henderson, Blaise Thomson, and Steve Young. 2014. Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation. In Proceedings of IEEE Spoken Language Technology.
    • (2014) Proceedings of IEEE Spoken Language Technology
    • Henderson, M.1    Thomson, B.2    Young, S.3
  • 19
    • 84907359331 scopus 로고    scopus 로고
    • A statistical nlg framework for aggregated planning and realization
    • Association for Computational Linguistics
    • Ravi Kondadadi, Blake Howald, and Frank Schilder. 2013. A statistical nlg framework for aggregated planning and realization. In Proceedings of the 51st Annual Meeting of the ACL. Association for Computational Linguistics.
    • (2013) Proceedings of the 51st Annual Meeting of the ACL
    • Kondadadi, R.1    Howald, B.2    Schilder, F.3
  • 20
    • 25444445484 scopus 로고
    • Where do phrases come from: Some preliminary experiments in connectionist phrase generation
    • Springer Netherlands
    • Karen Kukich. 1987. Where do phrases come from: Some preliminary experiments in connectionist phrase generation. In Natural Language Generation. Springer Netherlands.
    • (1987) Natural Language Generation
    • Kukich, K.1
  • 22
    • 80052204608 scopus 로고    scopus 로고
    • Controlling user perceptions of linguistic style: Trainable generation of personality traits
    • François Mairesse and Marilyn A. Walker. 2011. Controlling user perceptions of linguistic style: Trainable generation of personality traits. Computer Linguistics.
    • (2011) Computer Linguistics
    • Mairesse, F.1    Walker, M.A.2
  • 23
    • 84918491895 scopus 로고    scopus 로고
    • Stochastic language generation in dialogue using factored language models
    • François Mairesse and Steve Young. 2014. Stochastic language generation in dialogue using factored language models. Computer Linguistics.
    • (2014) Computer Linguistics
    • Mairesse, F.1    Young, S.2
  • 25
    • 84961480199 scopus 로고
    • Rhetorical structure theory: Toward a functional theory of text organization
    • William C. Mann and Sandra A. Thompson. 1988. Rhetorical structure theory: Toward a functional theory of text organization. Text.
    • (1988) Text
    • Mann, W.C.1    Thompson, S.A.2
  • 26
    • 84874235486 scopus 로고    scopus 로고
    • Context dependent recurrent neural network language model
    • Tomás Mikolov and Geoffrey Zweig. 2012. Context dependent recurrent neural network language model. In In Proceedings on IEEE SIT workshop.
    • (2012) Proceedings on IEEE SIT Workshop
    • Mikolov, T.1    Zweig, G.2
  • 32
    • 85133336275 scopus 로고    scopus 로고
    • Bleu: A method for automatic evaluation of machine translation
    • Association for Computational Linguistics
    • Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting on ACL. Association for Computational Linguistics.
    • (2002) Proceedings of the 40th Annual Meeting on ACL
    • Papineni, K.1    Roukos, S.2    Ward, T.3    Zhu, W.4
  • 33
  • 34
    • 0036663624 scopus 로고    scopus 로고
    • Trainable approaches to surface natural language generation and their application to conversational dialog systems
    • Adwait Ratnaparkhi. 2002. Trainable approaches to surface natural language generation and their application to conversational dialog systems. Computer Speech and Language.
    • (2002) Computer Speech and Language
    • Ratnaparkhi, A.1
  • 35
    • 77956315638 scopus 로고    scopus 로고
    • Natural language generation as planning under uncertainty for spoken dialogue systems
    • Springer-Verlag
    • Verena Rieser and Oliver Lemon. 2010. Natural language generation as planning under uncertainty for spoken dialogue systems. In Empirical Methods in Natural Language Generation. Springer-Verlag.
    • (2010) Empirical Methods in Natural Language Generation
    • Rieser, V.1    Lemon, O.2
  • 39
    • 85067116892 scopus 로고    scopus 로고
    • Trainable sentence planning for complex information presentation in spoken dialog systems
    • Amanda Stent, Rashmi Prasad, and Marilyn Walker. 2004. Trainable sentence planning for complex information presentation in spoken dialog systems. In In Proceedings of the Annual Meeting of the ACL.
    • (2004) Proceedings of the Annual Meeting of the ACL
    • Stent, A.1    Prasad, R.2    Walker, M.3
  • 40
    • 71749099550 scopus 로고    scopus 로고
    • Evaluating evaluation methods for generation in the presence of variation
    • Amanda Stent, Matthew Marge, and Mohit Singhai. 2005. Evaluating evaluation methods for generation in the presence of variation. In in Proceedings of CICLing 2005.
    • (2005) Proceedings of CICLing 2005
    • Stent, A.1    Marge, M.2    Singhai, M.3
  • 41
    • 84961291354 scopus 로고    scopus 로고
    • Translation modeling with bidirectional recurrent neural networks
    • Association for Computational Linguistics
    • Martin Sundermeyer, Tamer Alkhouli, Joern Wuebker, and Hermann Ney 2014. Translation modeling with bidirectional recurrent neural networks. In Proceedings of the 2014 Conference on EMNLP. Association for Computational Linguistics.
    • (2014) Proceedings of the 2014 Conference on EMNLP
    • Sundermeyer, M.1    Alkhouli, T.2    Wuebker, J.3    Ney, H.4
  • 43
    • 84959277840 scopus 로고    scopus 로고
    • Sequence to sequence learning with neural networks
    • Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to sequence learning with neural networks. CoRR.
    • (2014) CoRR
    • Sutskever, I.1    Vinyals, O.2    Le, Q.V.3
  • 46
    • 84988423232 scopus 로고    scopus 로고
    • Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking
    • Association for Computational Linguistics
    • Tsung-Hsien Wen, Milica Gašić, Dongho Kim, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015. Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking. In Proceedings of SIG-dial. Association for Computational Linguistics.
    • (2015) Proceedings of SIG-dial
    • Wen, T.-H.1    Gašić, M.2    Kim, D.3    Mrkšić, N.4    Su, P.-H.5    Vandyke, D.6    Young, S.7
  • 47
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • Paul J Werbos. 1990. Backpropagation through time: what it does and how to do it. Proceedings of the IEEE.
    • (1990) Proceedings of the IEEE
    • Werbos, P.J.1
  • 48
    • 84946687066 scopus 로고    scopus 로고
    • Spoken language understanding using long short-term memory neural networks
    • IEEE Institute of Electrical and Electronics Engineers
    • Kaisheng Yao, Baolin Peng, Yu Zhang, Dong Yu, Geoffrey Zweig, and Yangyang Shi. 2014. Spoken language understanding using long short-term memory neural networks. In In Proceedings on IEEE SLT workshop. IEEE Institute of Electrical and Electronics Engineers.
    • (2014) Proceedings on IEEE SLT Workshop
    • Yao, K.1    Peng, B.2    Zhang, Y.3    Yu, D.4    Zweig, G.5    Shi, Y.6
  • 51
    • 84926013385 scopus 로고    scopus 로고
    • Chinese poetry generation with recurrent neural networks
    • Association for Computational Linguistics, October
    • Xingxing Zhang and Mirella Lapata. 2014. Chinese poetry generation with recurrent neural networks. In Proceedings of the 2014 Conference on EMNLP. Association for Computational Linguistics, October.
    • (2014) Proceedings of the 2014 Conference on EMNLP
    • Zhang, X.1    Lapata, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.