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Machine-learning based dialogue managers are able to learn complex behaviors in order to complete a task, but it is not straightforward to extend their capabilities to new domains.
A stochastic model of human-machine interaction for learning dialog strategies
Esther Levin, Roberto Pieraccini, and Wieland Eckert · 2000
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Optimizing dialogue management with reinforcement learning: Experiments with the njfun system
Satinder Singh, Diane Litman, Michael Kearns, and Marilyn Walker · 2002
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Hybrid reinforcement/supervised learning for dialogue policies from communicator data
James Henderson, Oliver Lemon, and Kallirroi Georgila · 2005
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Partially observable markov decision processes for spoken dialog systems
Jason D. Williams and Steve Young · 2007
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The best of both worlds: Unifying conventional dialog systems and pomdps
Jason D Williams · 2008
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A statistical approach to spoken dialog systems design and evaluation
David Griol, Lluís F Hurtado, Encarna Segarra, and Emilio Sanchis · 2008
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Statistical dialog management applied to wfst-based dialog systems
Chiori Hori, Kiyonori Ohtake, Teruhisa Misu, Hideki Kashioka, and Satoshi Nakamura · 2009
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Example-based dialog modeling for practical multi-domain dialog system
Cheongjae Lee, Sangkeun Jung, Seokhwan Kim, and Gary Geunbae Lee · 2009
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Iris: a chat-oriented dialogue system based on the vector space model
Rafael E Banchs and Haizhou Li · 2012
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Multi-domain learning and generalization in dialog state tracking
Jason Williams · 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
M Gašić, Dongho Kim, Pirros Tsiakoulis, Catherine Breslin, Matthew Henderson, Martin Szummer, Blaise Thomson, and Steve Young · 2014
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D Williams · 2014
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Word-based dialog state tracking with recurrent neural networks
Matthew Henderson, Blaise Thomson, and Steve Young · 2014
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Web-style ranking and slu combination for dialog state tracking
Jason D Williams · 2014
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young · 2016
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Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Tim Salimans and Diederik P Kingma · 2016
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Recurrent dropout without memory loss
Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth · 2016
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Jason D Williams, Kavosh Asadi, and Geoffrey Zweig · 2017
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Combining chat and task-based multimodal dialogue for more engaging hri: A scalable method using reinforcement learning
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Multi-domain dialog state tracking using recurrent neural networks
Nikola Mrkšić, Diarmuid O Séaghdha, Blaise Thomson, Milica Gašić, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young · 2015
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston · 2016
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Ioannis Papaioannou and Oliver Lemon · 2017
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Learning conversational systems that interleave task and non-task content
Zhou Yu, Alan W Black, and Alexander I Rudnicky · 2017
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Starspace: Embed all the things!
Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, and Jason Weston · 2017
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Rasa: Open source language understanding and dialogue management
Tom Bocklisch, Joey Faulkner, Nick Pawlowski, and Alan Nichol · 2017
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Can recurrent neural networks warp time
Corentin Tallec and Yann Ollivier · 2018
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