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Generating fluent and informative responses is of critical importance for task-oriented dialogue systems.
Multiwoz 2.1: Multi-domain dialogue state corrections and state tracking baselines
Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyag Gao, and Dilek Hakkani-Tur. 2019 · 1907
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Structured fusion networks for dialog
Shikib Mehri, Tejas Srinivasan, and Maxine Eskenazi. 2019 · 1907
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A modular task-oriented dialogue system using a neural mixture-of-experts
Jiahuan Pei, Pengjie Ren, and Maarten de Rijke. 2019 · 1907
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Dialogact2vec: Towards end-to-end dialogue agent by multi-task representation learning
Zhuoxuan Jiang, Ziming Huang, Dong Sheng Li, and Xianling Mao. 2019 · 1911
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Dialogpt: Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2019 · 1911
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Global-locally self-attentive dialogue state tracker
Victor Zhong, Caiming Xiong, and Richard Socher. 2018 · 2004
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 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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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016a · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016b · 2016
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Coverage embedding models for neural machine translation
Haitao Mi, Baskaran Sankaran, Zhiguo Wang, and Abe Ittycheriah. 2016 · 2016
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Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. 2016 · 2016
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Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston. 2017 · 2017
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An end-to-end trainable neural network model with belief tracking for task-oriented dialog
Bing Liu and Ian Lane. 2017 · 2017
Cited alongside, same era.
Neural belief tracker: Data-driven dialogue state tracking
Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, and Steve Young. 2017 · 2017
Cited alongside, same era.
Semantic parsing for task oriented dialog using hierarchical representations
Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, and Mike Lewis. 2018 · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and Roberto Cipolla. 2018 · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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Multi-task learning for joint language understanding and dialogue state tracking
Abhinav Rastogi, Raghav Gupta, and Dilek Hakkani-Tur. 2018 · 2018
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Cold fusion: Training seq2seq models together with language models
Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, and Adam Coates. 2018 · 2018
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Natural language generation by hierarchical decoding with linguistic patterns
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Iulian V Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, et al. 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 Gasic, and Steve Young. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Latent intention dialogue models
Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, 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 D Williams, Kavosh Asadi, and Geoffrey Zweig. 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, Ultes Stefan, Ramadan Osman, and Milica Gašić. 2018 · 2018
Cited alongside, same era.
Shang-Yu Su, Kai-Ling Lo, Yi-Ting Yeh, and Yun-Nung Chen. 2018 · 2018
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Semantically conditioned dialog response generation via hierarchical disentangled self-attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Transferable multi-domain state generator for task-oriented dialogue systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, and Pascale Fung. 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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