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This paper proposes KB-InfoBot -- a multi-turn dialogue agent which helps users search Knowledge Bases (KBs) without composing complicated queries.
Likelihood ratio gradient estimation for stochastic systems
Peter W Glynn. 1990 · 1990
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
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Paradise: A framework for evaluating spoken dialogue agents
Marilyn A Walker, Diane J Litman, Candace A Kamm, and Alicia Abella. 1997 · 1997
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Searching the web: The public and their queries
Amanda Spink, Dietmar Wolfram, Major BJ Jansen, and Tefko Saracevic. 2001 · 2001
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Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning
Konrad Scheffler and Steve Young. 2002 · 2002
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Variance reduction techniques for gradient estimates in reinforcement learning
Evan Greensmith, Peter L Bartlett, and Jonathan Baxter. 2004 · 2004
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Human-computer dialogue simulation using hidden markov models
Heriberto Cuayáhuitl, Steve Renals, Oliver Lemon, and Hiroshi Shimodaira. 2005 · 2005
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Scaling up POMDPs for dialog management: The “Summary POMDP” method
Jason D Williams and Steve Young. 2005 · 2005
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Memo: towards automatic usability evaluation of spoken dialogue services by user error simulations
Sebastian Möller, Roman Englert, Klaus-Peter Engelbrecht, Verena Vanessa Hafner, Anthony Jameson, Antti Oulasvirta, Alexander Raake, and Norbert Reithinger. 2006 · 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. 2007a · 2007
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Lecture 6a overview of mini–batch gradient descent
Geoffrey Hinton, N Srivastava, and Kevin Swersky. 2012 · 2012
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On-line policy optimisation of bayesian spoken dialogue systems via human interaction
M Gašić, Catherine Breslin, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, and Steve Young. 2013 · 2013
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POMDP-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams. 2013 · 2013
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Do we need entity-centric knowledge bases for entity disambiguation?
Stefan Zwicklbauer, Christin Seifert, and Michael Granitzer. 2013 · 2013
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Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Reinforcement learning neural Turing machines-revised
Wojciech Zaremba and Ilya Sutskever. 2015 · 2015
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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 · 2016
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Multi-domain joint semantic frame parsing using bi-directional RNN-LSTM
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Word-based dialog state tracking with recurrent neural networks
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Matthew Henderson. 2015 · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
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Syntax or semantics? knowledge-guided joint semantic frame parsing
Yun-Nung Chen, Dilek Hakanni-Tür, Gokhan Tur, Asli Celikyilmaz, Jianfeng Guo, and Li Deng. 2016a
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End-to-end memory networks with knowledge carryover for multi-turn spoken language understanding
Yun-Nung Chen, Dilek Hakkani-Tür, Gokhan Tur, Jianfeng Gao, and Li Deng. 2016b
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky. 2016a
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