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We propose an online, end-to-end, neural generative conversational model for open-domain dialogue.
Statistical phrase-based translation
Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003 · 2003
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Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
Cristian Danescu-Niculescu-Mizil and Lillian Lee. 2011 · 2011
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Diederik Kingma and Jimmy Ba. 2014 · 2014
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Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Intelligent affect: Rational decision making for socially aligned agents
Nabiha Asghar and Jesse Hoey. 2015 · 2015
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A neural network approach to context-sensitive generation of conversational responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015 · 2015
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Oriol Vinyals and Quoc Le. 2015 · 2015
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Deep reinforcement learning for multi-domain dialogue systems
H. Cuayáhuitl, Seunghak Yu, Ashley Williamson, and Jacob Carse. 2016 · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
Julian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. 2016 · 2016
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Continuously learning neural dialogue management
Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, and Steve Young. 2016 · 2016
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Diverse beam search: Decoding diverse solutions from neural sequence models
Ashwin K Vijayakumar, Michael Cogswell, Ramprasath R Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2016 · 2016
End-to-end lstm-based dialog control optimized with supervised and reinforcement learning
Jason D Williams and Geoffrey Zweig. 2016 · 2016
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Strategy and policy learning for non-task-oriented conversational systems
Zhou Yu, Ziyu Xu, Alan W Black, and Alexander Rudnicky. 2016 · 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 · 2016
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Agent-agnostic human-in-the-loop reinforcement learning
David Abel, John Salvatier, Andreas Stuhlmüller, and Owain Evans. 2017 · 2017
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Composite task-completion dialogue system via hierarchical deep reinforcement learning
Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, and Kam-Fai Wong. 2017 · 2017
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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 · 2016
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Dialog-based language learning
Jason Weston. 2016 · 2016
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A copy-augmented sequence-to-sequence architecture gives good performance on task-oriented dialogue
Mihail Eric and Christopher D Manning. 2017a
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Key-value retrieval networks for task-oriented dialogue
Mihail Eric and Christopher D Manning. 2017b
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A persona-based neural conversation model
Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao, and Bill Dolan. 2016b
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Dialogue learning with human-in-the-loop
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc’Aurelio Ranzato, and Jason Weston. 2016c
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Learning through dialogue interactions by asking questions
Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc’Aurelio Ranzato, and Jason Weston. 2017a
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Multiresolution recurrent neural networks: An application to dialogue response generation
Julian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, and Aaron Courville. 2017 · 2017
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A conditional variational framework for dialog generation
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