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Neural models for response generation produce responses that are semantically plausible but not necessarily factually consistent with facts describing the speaker's persona.
TransferTransfo: A transfer learning approach for neural network based conversational agents
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019 · 1901
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The second conversational intelligence challenge (ConvAI2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason Williams, Joelle Pineau, Mikhail Burtsev, and Jason Weston. 2019 · 1902
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech, Badia Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. 2016 · 1937
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GUS, a frame-driven dialog system
Daniel G. Bobrow, Ronald M. Kaplan, Martin Kay, Donald A. Norman, Henry Thompson, and Terry Winograd. 1977 · 1977
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A persona-based neural conversation model
Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao, and Bill Dolan. 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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Task-oriented query reformulation with reinforcement learning
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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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Generating more interesting responses in neural conversation models with distributional constraints
Ashutosh Baheti, Alan Ritter, Jiwei Li, and Bill Dolan. 2018 · 2018
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Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Hierarchical text generation and planning for strategic dialogues
Denis Yarats and Mike Lewis. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
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Know more about each other: Evolving dialogue strategy via compound assessment
Reward learning for efficient reinforcement learning in extractive document summarisation
Yang Gao, Christian M. Meyer, Mohsen Mesgar, and Iryna Gurevych. 2019 · 2019
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Personalizing dialogue agents via meta-learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, and Pascale Fung. 2019 · 2019
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What makes a good conversation? how controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, and Jason Weston. 2019 · 2019
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Dialogue natural language inference
Sean Welleck, Jason Weston, Arthur Szlam, and Kyunghyun Cho. 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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Dialogue coherence assessment without explicit dialogue act labels
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Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, and Hua Wu. 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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Evaluating coherence in dialogue systems using entailment
Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, and Osmar Zaiane. 2019 · 2019
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Mohsen Mesgar, Sebastian Bücker, and Iryna Gurevych. 2020 · 2020
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Generating persona consistent dialogues by exploiting natural language inference
Haoyu Song, Wei-Nan Zhang, Jingwen Hu, and Ting Liu. 2020 · 2020
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Dialogue learning with human teaching and feedback in end-to-end trainable task-oriented dialogue systems
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