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Dialogue response generation (DRG) is a critical component of task-oriented dialogue systems (TDSs).
Ensemble methods in machine learning
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
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LSTM-based mixture-of-experts for knowledge-aware dialogues
P. Le, M. Dymetman, and J.-M. Renders · 2016
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A persona-based neural conversation model
J. Li, M. Galley, C. Brockett, G. P. Spithourakis, J. Gao, and B. Dolan · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
I. V. Serban, A. Sordoni, Y. Bengio, A. C. Courville, and J. Pineau · 2016
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Learning end-to-end goal-oriented dialog
A. Bordes and J. Weston · 2017
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A survey on dialogue systems: Recent advances and new frontiers
H. Chen, X. Liu, D. Yin, and J. Tang · 2017
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Key-value retrieval networks for task-oriented dialogue
M. Eric, L. Krishnan, F. Charette, and C. D. Manning · 2017
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Multi-source domain adaptation with mixture of experts
J. Guo, D. J. Shah, and R. Barzilay · 2018
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Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
W. Lei, X. Jin, M.-Y. Kan, Z. Ren, X. He, and D. Yin · 2018
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Global-locally self-attentive encoder for dialogue state tracking
V. Zhong, C. Xiong, and R. Socher · 2018
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Semantically conditioned dialog response generation via hierarchical disentangled self-attention
W. Chen, J. Chen, P. Qin, X. Yan, and W. Y. Wang · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2019
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Adversarial learning for neural dialogue generation
J. Li, W. Monroe, T. Shi, S. Jean, A. Ritter, and D. Jurafsky · 2017
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
N. Shazeer, A. Mirhoseini, K. Maziarz, A. Davis, Q. Le, G. Hinton, and J. Dean · 2017
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Hybrid code networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
J. D. Williams, K. Asadi, and G. Zweig · 2017
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Building task-oriented dialogue systems for online shopping
Z. Yan, N. Duan, P. Chen, M. Zhou, J. Zhou, and Z. Li · 2017
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Towards end-to-end multi-domain dialogue modelling
P. Budzianowski, I. Casanueva, B.-H. Tseng, and M. Gasic
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Multiwoz - a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
P. Budzianowski, T.-H. Wen, B.-H. Tseng, I. Casanueva, S. Ultes, O. Ramadan, and M. Gasic
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S. Mehri, T. Srinivasan, and M. Eskenazi · 2019
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Meta-learning for low-resource natural language generation in task-oriented dialogue systems
F. Mi, M. Huang, J. Zhang, and B. Faltings · 2019
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Granger-causal attentive mixtures of experts: Learning important features with neural networks
P. Schwab, D. Miladinovic, and W. Karlen · 2019
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Memory-augmented dialogue management for task-oriented dialogue systems
Z. Zhang, M. Huang, Z. Zhao, F. Ji, H. Chen, and X. Zhu · 2019
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Rethinking action spaces for reinforcement learning in end-to-end dialog agents with latent variable models
T. Zhao, K. Xie, and M. Eskenazi · 2019
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