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It is difficult to train a personalized task-oriented dialogue system because the data collected from each individual is often insufficient.
A Markovian decision process
Richard Bellman · 1957
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Learning dialogue strategies within the Markov decision process framework
Esther Levin, Roberto Pieraccini, and Wieland Eckert · 1997
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A personalized system for conversational recommendations
Cynthia A Thompson, Mehmet H Goker, and Pat Langley · 2004
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Transfer learning for reinforcement learning domains: A survey
Matthew E Taylor and Peter Stone · 2009
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Large-scale machine learning with stochastic gradient descent
Léon Bottou · 2010
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2010
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Data-driven response generation in social media
Alan Ritter, Colin Cherry, and William B Dolan · 2011
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POMDP-based dialogue manager adaptation to extended domains
Milica Gašic, Catherine Breslin, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, and Steve Young · 2013
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POMDP-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams · 2013
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Incremental on-line adaptation of POMDP-based dialogue managers to extended domains
Milica Gasic, Dongho Kim, Pirros Tsiakoulis, Catherine Breslin, Matthew Henderson, Martin Szummer, Blaise Thomson, and Steve J. Young · 2014
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Reinforcement learning of cooperative persuasive dialogue policies using framing
Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura · 2014
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Acquisition and use of long-term memory for personalized dialog systems
Yonghee Kim, Jeesoo Bang, Junhwi Choi, Seonghan Ryu, Sangjun Koo, and Gary Geunbae Lee · 2014
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Multi-transfer: Transfer learning with multiple views and multiple sources
Ben Tan, Erheng Zhong, Evan Wei Xiang, and Qiang Yang · 2014
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Example-based chat-oriented dialogue system with personalized long-term memory
Jeesoo Bang, Hyungjong Noh, Yonghee Kim, and Gary Geunbae Lee · 2015
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Transitive transfer learning
Ben Tan, Yangqiu Song, Erheng Zhong, and Qiang Yang · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-Hao Su, David Vandyke, and Steve Young · 2015
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Transfer learning for user adaptation in spoken dialogue systems
Aude Genevay and Romain Laroche · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, and Dan Jurafsky · 2016
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Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, and Zhi Jin · 2016
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Knowledge transfer between speakers for personalised dialogue management
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Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, and Bill Dolan · 2015
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Hierarchical neural network generative models for movie dialogues
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau · 2015
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Providing arguments in discussions on the basis of the prediction of human argumentative behavior
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Ariel Rosenfeld and Sarit Kraus
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Transfer knowledge between cities
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, and Steve Young · 2016
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End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
Jason D Williams and Geoffrey Zweig · 2016
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