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In this paper, we extend the persona-based sequence-to-sequence (Seq2Seq) neural network conversation model to a multi-turn dialogue scenario by modifying the state-of-the-art hredGAN architecture to simultaneously capture utterance attributes such as speaker identity, dialogue topic, speaker sentiments and so on.
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. Le. 2014 · 2014
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O. Vinyals and Q. Le. 2015 · 2015
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Building end-to-end dialogue systems using generative hierarchical neural network models
I. Serban, A. Sordoni, Y. Bengio, A. Courville, and J. Pineau. 2016 · 2016
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Multiresolution recurrent neural networks: An application to dialogue response generation
I. V. Serban, T. Klinger, G. Tesauro, K. Talamadupula, B. Zhou, Y. Bengio, and A. Courville. 2017a · 2017
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
J. Li, M. Galley, C. Brockett, J. Gao, and B. Dolan. 2016a
Cited in the paper.
A persona-based neural conversation model
J. Li, M. Galley, C. Brockett, G. Spithourakis, J. Gao, and B. Dolan. 2016b
Cited in the paper.
A hierarchical latent variable encoder-decoder model for generating dialogue
I. V. Serban, A. Sordoni, R. Lowe, L. Charlin, J. Pineau, A. Courville, and Y. Bengio. 2017b · 2017
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Hierarchical recurrent attention network for response generation
C. Xing, W. Wu, Y. Wu, M. Zhou, Y. Huang, and W. Ma. 2017 · 2017
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A neural chatbot with personality
H. Nguyen, D. Morales, and T. Chin. 2018 · 2018
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Multi-turn dialogue response generation in an adversarial learning framework
O. Olabiyi, A. Salimov, A. Khazane, and E. Mueller. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
S. Zhang, E. Dinan, J. Urbanek, A. Szlam, D. Kiela, and J. Weston. 2018 · 2018
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