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One of the difficulties in training dialogue systems is the lack of training data.
Teacher-student framework enhanced multi-domain dialogue generation
Shuke Peng, Xinjing Huang, Zehao Lin, Feng Ji, Haiqing Chen, and Yin Zhang. 2019 · 1908
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Alternating recurrent dialog model with large-scale pre-trained language models
Qingyang Wu, Yichi Zhang, Yu Li, and Zhou Yu. 2019 · 1910
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Policy gradient methods for reinforcement learning with function approximation
Richard S Sutton, David A. McAllester, Satinder P. Singh, and Yishay Mansour. 2000 · 2000
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Multi-domain dialogue acts and response co-generation
Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan, and Jianxing Yu. 2020 · 2004
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Bidirectional lstm networks for improved phoneme classification and recognition
Alex Graves, Santiago Fernández, and Jürgen Schmidhuber. 2005 · 2005
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A simple language model for task-oriented dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, and Richard Socher. 2020 · 2005
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Soloist: Few-shot task-oriented dialog with a single pre-trained auto-regressive model
Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, and Jianfeng Gao. 2020 · 2005
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The hidden agenda user simulation model
Jost Schatzmann and Steve J. Young. 2009 · 2009
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Pomdp-based statistical spoken dialog systems: A review
S. Young, M. Gašić, B. Thomson, and J. D. Williams. 2013 · 2013
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Task completion transfer learning for reward inference
Layla El Asri, Romain Laroche, and Olivier Pietquin. 2014 · 2014
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D. Williams. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 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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A user simulator for task-completion dialogues
Xiujun Li, Zachary Chase Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, and Yun-Nung Chen. 2016 · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. 2016 · 2016
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The dialog state tracking challenge series: A review
Jason D. Williams, Antoine Raux, and Matthew Henderson. 2016 · 2016
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Towards 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. 2017 · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. 2017 · 2017
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End-to-end task-completion neural dialogue systems
Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, and Asli Celikyilmaz. 2017 · 2017
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Deep learning for user simulation in a dialogue system
Florian Kreyssig. 2018 · 2018
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Neural user simulation for corpus-based policy optimisation of spoken dialogue systems
Florian Kreyssig, Iñigo Casanueva, Paweł Budzianowski, and Milica Gašić. 2018 · 2018
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Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin. 2018 · 2018
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ConvLab: Multi-domain end-to-end dialog system platform
Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, and Jianfeng Gao. 2019 · 2019
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Structured fusion networks for dialog
Shikib Mehri, Tejas Srinivasan, and Maxine Eskenazi. 2019 · 2019
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An end-to-end trainable neural network model with belief tracking for task-oriented dialog
Bing Liu and Ian Lane. 2017a · 2017
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Iterative policy learning in end-to-end trainable task-oriented neural dialog models
Bing Liu and Ian Lane. 2017b · 2017
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End-to-end optimization of task-oriented dialogue model with deep reinforcement learning
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, and Larry Heck. 2017 · 2017
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Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, YI WU, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch. 2017 · 2017
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Sample-efficient actor-critic reinforcement learning with supervised data for dialogue management
Pei-Hao Su, Paweł Budzianowski, Stefan Ultes, Milica Gašić, and Steve Young. 2017 · 2017
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gasic, Lina M. Rojas Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2017 · 2017
Cited alongside, same era.
Multiwoz-a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gasic. 2018 · 2018
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Collaborative multi-agent dialogue model training via reinforcement learning
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, and Gokhan Tur. 2019 · 2019
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Task-oriented dialog systems that consider multiple appropriate responses under the same context
Yichi Zhang, Zhijian Ou, and Zhou Yu. 2019 · 2019
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Rethinking action spaces for reinforcement learning in end-to-end dialog agents with latent variable models
Tiancheng Zhao, Kaige Xie, and Maxine Eskenazi. 2019 · 2019
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Paraphrase augmented task-oriented dialog generation
Silin Gao, Yichi Zhang, Zhijian Ou, and Zhou Yu. 2020 · 2020
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MinTL: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020a · 2020
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Mintl: Minimalist transfer learning for task-oriented dialogue systems
Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2020b · 2020
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Retrospective and prospective mixture-of-generators for task-oriented dialogue response generation
Jiahuan Pei, Pengjie Ren, Christof Monz, and Maarten de Rijke. 2020 · 2020
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Multi-agent task-oriented dialog policy learning with role-aware reward decomposition
Ryuichi Takanobu, Runze Liang, and Minlie Huang. 2020 · 2020
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