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End-to-end learning framework is useful for building dialog systems for its simplicity in training and efficiency in model updating.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
Policy invariance under reward transformations: Theory and application to reward shaping
Andrew Y Ng, Daishi Harada, and Stuart Russell. 1999 · 1999
Earlier work this paper cites.
A stochastic model of human-machine interaction for learning dialog strategies
Esther Levin, Roberto Pieraccini, and Wieland Eckert. 2000 · 2000
Earlier work this paper cites.
Annotation and detection of emotion in a task-oriented human-human dialog corpus
Laurence Devillers, Ioana Vasilescu, and Lori Lamel. 2002 · 2002
Earlier work this paper cites.
Optimizing dialogue management with reinforcement learning: Experiments with the njfun system
Satinder Singh, Diane Litman, Michael Kearns, and Marilyn Walker. 2002 · 2002
Earlier work this paper cites.
Emotion detection in task-oriented spoken dialogues
Laurence Devillers, Lori Lamel, and Ioana Vasilescu. 2003 · 2003
Earlier work this paper cites.
Speech emotion recognition using hidden markov models
Tin Lay Nwe, Say Wei Foo, and Liyanage C De Silva. 2003 · 2003
Earlier work this paper cites.
Hidden markov model-based speech emotion recognition
Björn Schuller, Gerhard Rigoll, and Manfred Lang. 2003 · 2003
Earlier work this paper cites.
Toward Detecting Emotions in Spoken Dialogs
C. M. Lee and Shrikanth Narayanan. 2005 · 2005
Earlier work this paper cites.
Using context to improve emotion detection in spoken dialog systems
Jackson Liscombe, Giuseppe Riccardi, and Dilek Hakkani-Tür. 2005 · 2005
Earlier work this paper cites.
Let’s go public! taking a spoken dialog system to the real world
Antoine Raux, Brian Langner, Dan Bohus, Alan W Black, and Maxine Eskenazi. 2005 · 2005
Earlier work this paper cites.
Partially observable markov decision processes for spoken dialog systems
Jason D Williams and Steve Young. 2007 · 2007
Earlier work this paper cites.
Using emotion to gain rapport in a spoken dialog system
Jaime C Acosta. 2009 · 2009
Earlier work this paper cites.
Emotion detection in dialog systems: applications, strategies and challenges
Felix Burkhardt, Markus Van Ballegooy, Klaus-Peter Engelbrecht, Tim Polzehl, and Joachim Stegmann. 2009 · 2009
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Emotion recognition and adaptation in spoken dialogue systems
Johannes Pittermann, Angela Pittermann, and Wolfgang Minker. 2010 · 2010
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Adaptive ε \varepsilon -greedy exploration in reinforcement learning based on value differences
Michel Tokic. 2010 · 2010
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Achieving rapport with turn-by-turn, user-responsive emotional coloring
Jaime C Acosta and Nigel G Ward. 2011 · 2011
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011 · 2011
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Learning end-to-end goal-oriented dialog
Antoine Bordes and Jason Weston. 2016 · 2016
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End-to-end reinforcement learning of dialogue agents for information access
Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, and Li Deng. 2016 · 2016
Later among the works it cites.
A user simulator for task-completion dialogues
Xiujun Li, Zachary C Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2016 · 2016
Later among the works it cites.
Query-regression networks for machine comprehension
Minjoon Seo, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016
Later among the works it cites.
A network-based end-to-end trainable task-oriented dialogue system
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Matthew D Zeiler. 2012 · 2012
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Recent developments in opensmile, the munich open-source multimedia feature extractor
Florian Eyben, Felix Weninger, Florian Gross, and Björn Schuller. 2013 · 2013
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Expert-based reward shaping and exploration scheme for boosting policy learning of dialogue management
Emmanuel Ferreira and Fabrice Lefèvre. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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The interspeech 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
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Pei-Hao Su, David Vandyke, Milica Gasic, Dongho Kim, Nikola Mrksic, Tsung-Hsien Wen, and Steve Young. 2015 · 2015
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Real-time speech emotion and sentiment recognition for interactive dialogue systems
Dario Bertero, Farhad Bin Siddique, Chien-Sheng Wu, Yan Wan, Ricky Ho Yin Chan, and Pascale Fung. 2016 · 2016
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Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2016 · 2016
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Tiancheng Zhao and Maxine Eskenazi. 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. 2017 · 2017
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End-to-end task-completion neural dialogue systems
Xuijun Li, Yun-Nung Chen, Lihong Li, and Jianfeng Gao. 2017 · 2017
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Domain-independent user satisfaction reward estimation for dialogue policy learning
Stefan Ultes, Paweł Budzianowski, Inigo Casanueva, Nikola Mrkšic, Lina Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gašic, and Steve Young. 2017 · 2017
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Hybrid code networks: Practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason Williams, Kavosh Asadi, and Geoffrey Zweig. 2017 · 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 · 2017
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tensorflow-reinforce
Yuke Zhu. 2017 · 2017
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