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To train a statistical spoken dialogue system (SDS) it is essential that an accurate method for measuring task success is available.
M. A. Walker, D. J. Litman, C. A. Kamm, and A. Abella, “Paradise: A framework for evaluating spoken dialogue agents,” in
1997
Earlier work this paper cites.
Y. LeCun and Y. Bengio, “The handbook of brain theory and neural networks,” M. A. Arbib, Ed. Cambridge, MA, USA: MIT Press, 1998, ch. Convolutional Networks for Images, Speech, and Time Series, pp. 255–258
1998
Earlier work this paper cites.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,” in
1998
Earlier work this paper cites.
R. S. Sutton and A. G. Barto,
1999
Earlier work this paper cites.
E. Levin, R. Pieraccini, and W. Eckert, “A stochastic model of human-machine interaction for learning dialog strategies,”
2000
Earlier work this paper cites.
L. Larsen, “Issues in the evaluation of spoken dialogue systems using objective and subjective measures,” in
2003
Earlier work this paper cites.
J. D. Williams and S. Young, “Partially observable Markov decision processes for spoken dialog systems,”
2007
Earlier work this paper cites.
O. Lemon and O. Pietquin, “Machine learning for spoken dialogue systems,” in
2007
Earlier work this paper cites.
J. Schatzmann and S. Young, “The hidden agenda user simulation model,”
2009
Earlier work this paper cites.
M. Lukoševičius and H. Jaeger, “Reservoir computing approaches to recurrent neural network training,”
2009
Earlier work this paper cites.
S. Keizer, M. Gašić, F. Jurcicek, F. Mairesse, B. Thomson, K. Yu, and S. Young,
2010
Earlier work this paper cites.
B. Thomson and S. Young, “Bayesian update of dialogue state: A pomdp framework for spoken dialogue systems.”
2010
Cited alongside, same era.
T. Mikolov, M. Karafiát, L. Burget, J. Cernockỳ, and S. Khudanpur, “Recurrent neural network based language model.” in
2010
Cited alongside, same era.
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio, “Theano: a CPU and GPU math expression compiler,” in
2010
Cited alongside, same era.
M. Gašić, F. Jurcicek, B. Thomson, K. Yu, and S. Young, “On-line policy optimisation of spoken dialogue systems via live interaction with human subjects,” in
2011
Cited alongside, same era.
T. Mikolov, S. Kombrink, L. Burget, J. H. Cernocky, and S. Khudanpur, “Extensions of recurrent neural network language model,” in
2011
Cited alongside, same era.
S. Young, M. Gašic, B. Thomson, and J. Williams, “Pomdp-based statistical spoken dialogue systems: a review,” in
2013
Later among the works it cites.
M. Gašić, C. Breslin, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis, and S. J. Young, “On-line policy optimisation of bayesian spoken dialogue systems via human interaction,” in
2013
Later among the works it cites.
2013
Later among the works it cites.
M. Gašić and S. Young, “Gaussian processes for pomdp-based dialogue manager optimisation,”
2014
Later among the works it cites.
M. Gašić, D. Kim, P. Tsiakoulis, C. Breslin, M. Henderson, M. Szummer, B. Thomson, and S. J. Young, “Incremental on-line adaptation of pomdp-based dialogue managers to extended domains,” in
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L. Daubigney, M. Geist, S. Chandramohan, and O. Pietquin, “A comprehensive reinforcement learning framework for dialogue management optimization,”
2012
Cited alongside, same era.
Z. Yang, G. Levow, and H. Meng, “Predicting user satisfaction in spoken dialog system evaluation with collaborative filtering,”
2012
Cited alongside, same era.
L. E. Asri, R. Laroche, and O. Pietquin, “Reward Function Learning for Dialogue Management,” in
2012
Cited alongside, same era.
M. Henderson, M. Gašić, B. Thomson, P. Tsiakoulis, K. Yu, and S. Young, “Discriminative Spoken Language Understanding Using Word Confusion Networks,” in
2012
Cited alongside, same era.
F. Bastien, P. Lamblin, R. Pascanu, J. Bergstra, I. J. Goodfellow, A. Bergeron, N. Bouchard, and Y. Bengio, “Theano: new features and speed improvements,” Deep Learning and Unsupervised Feature Learning NIPS 2012 Workshop, 2012
2012
Cited alongside, same era.
2014
Later among the works it cites.
C. Daniel, M. Viering, J. Metz, O. Kroemer, and J. Peters, “Active reward learning,” in
2014
Later among the works it cites.
——, “Task completion transfer learning for reward inference,” in
2014
Later among the works it cites.
A. Karpathy and L. Fei-Fei, “Deep visual-semantic alignments for generating image descriptions,”
2014
Later among the works it cites.
N. Kalchbrenner, E. Grefenstette, and P. Blunsom, “A convolutional neural network for modelling sentences,”
2014
Later among the works it cites.
G. Mesnil, Y. Dauphin, K. Yao, Y. Bengio, L. Deng, D. Hakkani-Tur, X. He, L. Heck, G. Tur, D. Yu, and G. Zweig, “Using recurrent neural networks for slot filling in spoken language understanding,”
2015
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