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Neural dialogue models have been widely adopted in various chatbot applications because of their good performance in simulating and generalizing human conversations.
ELIZA - a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum · 1966
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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A form-based dialogue manager for spoken language applications
David Goddeau, Helen M. Meng, Joseph Polifroni, Stephanie Seneff, and Senis Busayapongchai · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Conversational agents
Bradford W. Mott, James C. Lester, and Karl Branting · 2004
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Movie-dic: a movie dialogue corpus for research and development
Rafael E. Banchs · 2012
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
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Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2014
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Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen · 2015
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A neural network approach to context-sensitive generation of conversational responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan · 2015
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Oriol Vinyals and Quoc V. Le · 2015
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Neural responding machine for short-text conversation
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Two are better than one: An ensemble of retrieval- and generation-based dialog systems
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Building end-to-end dialogue systems using generative hierarchical neural network models
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Microsoft is deleting its ai chatbot’s incredibly racist tweets
Rob Price · 2016
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Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter · 2016
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Parlai: A dialog research software platform
Alexander H. Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, and Jason Weston · 2017
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Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum · 2018
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Tianxing He and James Glass · 2018
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Attacking visual language grounding with adversarial examples: A case study on neural image captioning
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, and Cho-Jui Hsieh · 2018
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Adversarial examples for generative models
Jernej Kos, Ian Fischer, and Dawn Song · 2018
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John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan · 2016
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A hierarchical latent variable encoder-decoder model for generating dialogues
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Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, and Michael Witbrock · 2018
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Deep text classification can be fooled
Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, and Wenchang Shi · 2018
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Adversarial example generation with syntactically controlled paraphrase networks
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Interpretable adversarial perturbation in input embedding space for text
Motoki Sato, Jun Suzuki, Hiroyuki Shindo, and Yuji Matsumoto · 2018
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Synthetic and natural noise both break neural machine translation
Yonatan Belinkov and Yonatan Bisk · 2018
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Metamorphic relation based adversarial attacks on differentiable neural computer
Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, and Yew Soon Ong · 2018
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Neural approaches to conversational AI
Jianfeng Gao, Michel Galley, and Lihong Li · 2019
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Generating textual adversarial examples for deep learning models: A survey
Wei Emma Zhang, Quan Z. Sheng, and Ahoud Abdulrahmn F. Alhazmi · 2019
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