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Dialogue management (DM) plays a key role in the quality of the interaction with the user in a task-oriented dialogue system.
An application of reinforcement learning to dialogue strategy selection in a spoken dialogue system for email
Marilyn A. Walker. 2000 · 2000
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A conversation acts model for generating spoken dialogue contributions
Amanda J Stent. 2002 · 2002
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Hybrid reinforcement/supervised learning for dialogue policies from communicator data
James Henderson, Oliver Lemon, and Kallirroi Georgila. 2005 · 2005
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A multi-layer architecture for semi-synchronous event-driven dialogue management
Antoine Raux and Maxine Eskénazi. 2007 · 2007
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The hidden information state approach to dialog management
Steve J. Young, Jost Schatzmann, Karl Weilhammer, and Hui Ye. 2007 · 2007
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Hybrid reinforcement/supervised learning of dialogue policies from fixed data sets
James Henderson, Oliver Lemon, and Kallirroi Georgila. 2008 · 2008
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User and noise adaptive dialogue management using hybrid system actions
Senthilkumar Chandramohan and Olivier Pietquin. 2010 · 2010
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Demonstration of the parlance system: a data-driven incremental, spoken dialogue system for interactive search
Helen F. Hastie, Marie-Aude Aufaure, Panos Alexopoulos, Heriberto Cuayáhuitl, Nina Dethlefs, Milica Gasic, James Henderson, Oliver Lemon, Xingkun Liu, Peter Mika, Nesrine Ben Mustapha, Verena Rieser, Blaise Thomson, Pirros Tsiakoulis, and Yves Vanrompay. 2013 · 2013
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Gaussian processes for pomdp-based dialogue manager optimization
Milica Gasic and Steve J. Young. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Cited alongside, same era.
Turn-taking phenomena in incremental dialogue systems
Hatim Khouzaimi, Romain Laroche, and Fabrice Lefèvre. 2015 · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
Sample-efficient actor-critic reinforcement learning with supervised data for dialogue management
Pei-Hao Su, Pawel Budzianowski, Stefan Ultes, Milica Gasic, and Steve J. Young. 2017 · 2017
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Latent intention dialogue models
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, and Steve J. Young. 2017 · 2017
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User modeling for task oriented dialogues
Izzeddin Gur, Dilek Z. Hakkani-Tur, Gokhan Tur, and Pararth Shah. 2018 · 2018
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Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
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Microsoft dialogue challenge: Building end-to-end task-completion dialogue systems
Xiujun Li, Sarah Panda, Jingjing Liu, and Jianfeng Gao. 2018 · 2018
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Cited alongside, same era.
Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O. K. Li. 2016 · 2016
Cited alongside, same era.
End-to-end lstm-based dialog control optimized with supervised and reinforcement learning
Jason D Williams and Geoffrey Zweig. 2016 · 2016
Cited alongside, same era.
Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, and Geoffrey Zweig. 2017a
Cited in the paper.
Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, and Geoffrey Zweig. 2017b
Cited in the paper.
End-to-end learning of task-oriented dialogs
Bing Liu and Ian Lane. 2018 · 2018
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Recurrently controlled recurrent networks
Yi Tay, Anh Tuan Luu, and Siu Cheung Hui. 2018 · 2018
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