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The natural language generation (NLG) module in a task-oriented dialogue system produces user-facing utterances conveying required information.
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, and Alexandros Potamianos. 2019 · 1904
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Araml: A stable adversarial training framework for text generation
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Generation that exploits corpus-based statistical knowledge
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Probabilistic methods in spoken–dialogue systems
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Bleu: a method for automatic evaluation of machine translation
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Neural machine translation by jointly learning to align and translate
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Method and apparatus for building an intelligent automated assistant
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
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Generative adversarial nets
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Sequence to sequence learning with neural networks
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2015 · 2015
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Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2015 · 2015
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Semantically conditioned lstm-based natural language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
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Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
Ondřej Dušek and Filip Jurčíček. 2016 · 2016
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The e2e dataset: New challenges for end-to-end generation
Jekaterina Novikova, Ondřej Dušek, and Verena Rieser. 2017 · 2017
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Adversarial generation of natural language
Sai Rajeswar, Sandeep Subramanian, Francis Dutil, Christopher Pal, and Aaron Courville. 2017 · 2017
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Natural language generation for spoken dialogue system using rnn encoder-decoder networks
Van-Khanh Tran and Le-Minh Nguyen. 2017 · 2017
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Adversarial neural machine translation
Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, and Tie-Yan Liu. 2017 · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
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Eric Jang, Shixiang Gu, and Ben Poole. 2016 · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky. 2016 · 2016
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An overview of gradient descent optimization algorithms
Sebastian Ruder. 2016 · 2016
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Multi-domain neural network language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina M Rojas-Barahona, Pei-Hao Su, David Vandyke, and Steve Young. 2016 · 2016
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Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017 · 2017
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Adversarial learning for neural dialogue generation
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, and Dan Jurafsky. 2017 · 2017
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Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu. 2017 · 2017
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A deep ensemble model with slot alignment for sequence-to-sequence natural language generation
Juraj Juraska, Panagiotis Karagiannis, Kevin K Bowden, and Marilyn A Walker. 2018 · 2018
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Relgan: Relational generative adversarial networks for text generation
Weili Nie, Nina Narodytska, and Ankit Patel. 2018 · 2018
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Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P Xing, and Taylor Berg-Kirkpatrick. 2018 · 2018
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A simple recipe towards reducing hallucination in neural surface realisation
Feng Nie, Jin-ge Yao, Jinpeng Wang, Rong Pan, and Chin-Yew Lin. 2019 · 2019
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Multi-task learning for natural language generation in task-oriented dialogue
Chenguang Zhu, Michael Zeng, and Xuedong Huang. 2019 · 2019
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