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A. L. Gorin, G. Riccardi, and J. H. Wright · 1997
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Probabilistic methods in spoken–dialogue systems
S. Young · 2000
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Optimizing dialogue management with reinforcement learning: Experiments with the njfun system
S. Singh, D. Litman, M. Kearns, and M. Walker · 2002
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Data-driven response generation in social media
A. Ritter, C. Cherry, and W. B. Dolan · 2011
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Strategy and policy learning for non-task-oriented conversational systems
Z. Yu, Z. Xu, A. W. Black, and A. I. Rudnicky · 2011
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Deep neural network approach for the dialog state tracking challenge
M. Henderson, B. Thomson, and S. Young · 2013
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The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
R. Lowe, N. Pow, I. Serban, and J. Pineau · 2015
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For sympathetic ear, more chinese turn to smartphone program
J. Markoff and P. Mozur · 2015
Cited alongside, same era.
Multi-domain dialog state tracking using recurrent neural networks
N. Mrkšić, D. O. Séaghdha, B. Thomson, M. Gašić, P.-H. Su, D. Vandyke, T.-H. Wen, and S. Young · 2015
Cited alongside, same era.
Neural responding machine for short-text conversation
L. Shang, Z. Lu, and H. Li · 2015
Cited alongside, same era.
A neural network approach to context-sensitive generation of conversational responses
A. Sordoni, M. Galley, M. Auli, C. Brockett, Y. Ji, M. Mitchell, J.-Y. Nie, J. Gao, and B. Dolan · 2015
Cited alongside, same era.
Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems
P.-H. Su, D. Vandyke, M. Gasic, D. Kim, N. Mrksic, T.-H. Wen, and S. Young · 2015
Cited alongside, same era.
A neural conversational model
Memory networks
J. Weston, S. Chopra, and A. Bordes · 2015
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Learning end-to-end goal-oriented dialog
A. Bordes and J. Weston · 2016
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Neural utterance ranking model for conversational dialogue systems
M. Inaba and K. Takahashi · 2016
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Smart reply: Automated response suggestion for email
A. Kannan, K. Kurach, S. Ravi, T. Kaufmann, A. Tomkins, B. Miklos, G. Corrado, L. Lukács, M. Ganea, P. Young, et al · 2016
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A network-based end-to-end trainable task-oriented dialogue system
T.-H. Wen, M. Gasic, N. Mrksic, L. M. Rojas-Barahona, P.-H. Su, S. Ultes, D. Vandyke, and S. Young · 2016
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O. Vinyals and Q. Le · 2015
Cited alongside, same era.
Semantically conditioned lstm-based natural language generation for spoken dialogue systems
T.-H. Wen, M. Gasic, N. Mrksic, P.-H. Su, D. Vandyke, and S. Young · 2015
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
J. Li, M. Galley, C. Brockett, J. Gao, and B. Dolan
Cited in the paper.
Deep reinforcement learning for dialogue generation
J. Li, W. Monroe, A. Ritter, and D. Jurafsky
Cited in the paper.
Multiresolution recurrent neural networks: An application to dialogue response generation
I. V. Serban, T. Klinger, G. Tesauro, K. Talamadupula, B. Zhou, Y. Bengio, and A. Courville
Cited in the paper.
Building end-to-end dialogue systems using generative hierarchical neural network models
I. V. Serban, A. Sordoni, Y. Bengio, A. C. Courville, and J. Pineau
Cited in the paper.
A hierarchical latent variable encoder-decoder model for generating dialogues
I. V. Serban, A. Sordoni, R. Lowe, L. Charlin, J. Pineau, A. Courville, and Y. Bengio
Cited in the paper.
J. Weston · 2016
Closest in time.