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We introduce end-to-end neural network based models for simulating users of task-oriented dialogue systems.
“Simple statistical gradient-following algorithms for connectionist reinforcement learning,”
Ronald J. Williams, · 1992
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“Probabilistic methods in spoken–dialogue systems,”
Steve J. Young, · 2000
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“Learning user simulations for information state update dialogue systems,”
Kallirroi Georgila, James Henderson, and Oliver Lemon, · 2005
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“Human-computer dialogue simulation using hidden markov models,”
H. Cuayahuitl, S. Renals, O. Lemon, and H. Shimodaira, · 2005
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“The AT&T spoken language understanding system,”
N. Gupta, G. Tur, D. Hakkani-Tür, S. Bangalore, G. Riccardi, and M. Rahim, · 2006
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“User simulation for spoken dialogue systems: learning and evaluation,”
Kallirroi Georgila, James Henderson, and Oliver Lemon, · 2006
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“Agenda-based user simulation for bootstrapping a POMDP dialogue system,”
Jost Schatzmann, Blaise Thomson, Karl Weilhammer, Hui Ye, and Steve Young, · 2007
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“The ravenclaw dialog management framework: Architecture and systems,”
Dan Bohus and Alexander I Rudnicky, · 2009
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“Auto-Encoding Variational Bayes,”
D. P Kingma and M. Welling, · 2013
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“A survey on metrics for the evaluation of user simulations,”
Olivier Pietquin and Helen Hastie, · 2013
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“Variational Recurrent Auto-Encoders,”
O. Fabius and J. R. van Amersfoort, · 2014
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“Grammar as a foreign language,”
Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey E. Hinton, · 2014
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“On the properties of neural machine translation: Encoder-decoder approaches,”
KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio, · 2014
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“Adam: A method for stochastic optimization,”
Diederik P. Kingma and Jimmy Ba, · 2014
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“A sequence-to-sequence model for user simulation in spoken dialogue systems,”
Layla El Asri, Jing He, and Kaheer Suleman, · 2016
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“A hierarchical latent variable encoder-decoder model for generating dialogues,”
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio, · 2016
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“End-to-end joint learning of natural language understanding and dialogue manager,”
Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tur, Paul Crook, Xiujun Li, Jianfeng Gao, and Li Deng, · 2017
Later among the works it cites.
“End-to-end optimization of task-oriented dialogue model with deep reinforcement learning,”
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, and Larry Heck, · 2017
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“Composite task-completion dialogue system via hierarchical deep reinforcement learning,”
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Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, and Jian-Yun Nie, · 2015
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“A hierarchical neural autoencoder for paragraphs and documents,”
Jiwei Li, Minh-Thang Luong, and Dan Jurafsky, · 2015
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“A network-based end-to-end trainable task-oriented dialogue system,”
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, and Steve J. Young, · 2016
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“Towards end-to-end learning for dialog state tracking and management using deep reinforcement learning,”
Tiancheng Zhao and Maxine Eskenazi, · 2016
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Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, and Kam-Fai Wong, · 2017
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“Sequence to sequence modeling for user simulation in dialog systems,”
Paul Crook and Alex Marin, · 2017
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“Neural user simulation for corpus-based policy optimisation for spoken dialogue systems,”
Florian Kreyssig, Iñigo Casanueva, Pawel Budzianowski, and Milica Gasic, · 2018
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“Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning,”
Pararth Shah, Dilek Hakkani-Tur, Bing Liu, and Gokhan Tur, · 2018
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