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Building dialogue systems that naturally converse with humans is being an attractive and an active research domain.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
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Selecting good expansion terms for pseudo-relevance feedback
Guihong Cao, Jian-Yun Nie, Jianfeng Gao, and Stephen Robertson. 2008 · 2008
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Improved deep learning baselines for ubuntu corpus dialogs
Rudolf Kadlec, Martin Schmid, and Jan Kleindienst. 2015 · 2015
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 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 · 2015
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Lstm-based deep learning models for non-factoid answer selection
Ming Tan, Cicero dos Santos, Bing Xiang, and Bowen Zhou. 2015 · 2015
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A neural conversational model
Oriol Vinyals and Quoc Le. 2015 · 2015
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, 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
Cited alongside, same era.
Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Match-srnn: Modeling the recursive matching structure with spatial rnn
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, and Xueqi Cheng. 2016 · 2016
Cited alongside, same era.
Learning natural language inference with lstm
Shuohang Wang and Jing Jiang. 2016 · 2016
Cited alongside, same era.
Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau. 2017 · 2017
Cited alongside, same era.
Alime chat: A sequence to sequence and rerank based chatbot engine
Neural approaches to conversational ai
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
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Exemplar encoder-decoder for neural conversation generation
Gaurav Pandey, Danish Contractor, Vineet Kumar, and Sachindra Joshi. 2018 · 2018
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A survey of available corpora for building data-driven dialogue systems: The journal version
Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, and Joelle Pineau. 2018 · 2018
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From eliza to xiaoice: challenges and opportunities with social chatbots
Heung-yeung Shum, Xiao-dong He, and Di Li. 2018 · 2018
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An ensemble of retrieval-based and generation-based human-computer conversation systems
Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, and Rui Yan. 2018 · 2018
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Retrieve and refine: Improved sequence generation models for dialogue
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Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, and Wei Chu. 2017 · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Gated self-matching networks for reading comprehension and question answering
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, and Ming Zhou. 2017 · 2017
Cited alongside, same era.
A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gasic, Lina M. Rojas Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2017 · 2017
Cited alongside, same era.
Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots
Yu Wu, Wei Wu, Chen Xing, Ming Zhou, and Zhoujun Li. 2017 · 2017
Cited alongside, same era.
Neural natural language inference models enhanced with external knowledge
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, and Si Wei. 2018 · 2018
Cited alongside, same era.
Generating informative and diverse conversational responses via adversarial information maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, and Bill Dolan. 2018a
Cited in the paper.
Jason Weston, Emily Dinan, and Alexander Miller. 2018 · 2018
Later among the works it cites.
Response selection with topic clues for retrieval-based chatbots
Yu Wu, Zhoujun Li, Wei Wu, and Ming Zhou. 2018 · 2018
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Response ranking with deep matching networks and external knowledge in information-seeking conversation systems
Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, and Haiqing Chen. 2018 · 2018
Later among the works it cites.
Multi-turn response selection for chatbots with deep attention matching network
Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, and Hua Wu. 2018 · 2018
Later among the works it cites.
Sequential attention-based network for noetic end-to-end response selection
Qian Chen and Wen Wang. 2019 · 2019
Closest in time.
Dstc7 task 1: Noetic end-to-end response selection
Chulaka Gunasekara, Jonathan Kummerfeld, Lazaros Polymenakos, and Walter S. Lasecki. 2019 · 2019
Closest in time.