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Recently, various neural models for multi-party conversation (MPC) have achieved impressive improvements on a variety of tasks such as addressee recognition, speaker identification and response prediction.
Who is speaking to whom? learning to identify utterance addressee in multi-party conversations
Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, and Rui Yan. 2019 · 1919
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Neural responding machine for short-text conversation
Lifeng Shang, Zhengdong Lu, and Hang Li. 2015 · 2015
Earlier work this paper cites.
Tensorflow: A system for large-scale machine learning
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016 · 2016
Earlier work this paper cites.
Bridging nonlinearities and stochastic regularizers with gaussian error linear units
Dan Hendrycks and Kevin Gimpel. 2016 · 2016
Earlier work this paper cites.
Addressee and response selection for multi-party conversation
Hiroki Ouchi and Yuta Tsuboi. 2016 · 2016
Earlier work this paper cites.
Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, and Joelle Pineau. 2016 · 2016
Earlier work this paper cites.
A hierarchical latent variable encoder-decoder model for generating dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio. 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.
Towards neural speaker modeling in multi-party conversation: The task, dataset, and models
Zhao Meng, Lili Mou, and Zhi Jin. 2018 · 2018
Cited alongside, same era.
Addressee and response selection in multi-party conversations with speaker interaction rnns
Rui Zhang, Honglak Lee, Lazaros Polymenakos, and Dragomir R. Radev. 2018a · 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. 2018b · 2018
Cited alongside, same era.
Dually interactive matching network for personalized response selection in retrieval-based chatbots
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, and Quan Liu. 2019b · 2019
Later among the works it cites.
GSN: A graph-structured network for multi-party dialogues
Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, and Rui Yan. 2019 · 2019
Later among the works it cites.
Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, and Rui Yan. 2019a · 2019
Later among the works it cites.
One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, and Rui Yan. 2019b · 2019
Later among the works it cites.
Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
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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
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Interactive matching network for multi-turn response selection in retrieval-based chatbots
Jia-Chen Gu, Zhen-Hua Ling, and Quan Liu. 2019a · 2019
Cited alongside, same era.
Response selection for multi-party conversations with dynamic topic tracking
Weishi Wang, Steven C. H. Hoi, and Shafiq R. Joty. 2020 · 2020
Later among the works it cites.
DIALOGPT : Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2020 · 2020
Later among the works it cites.
Speaker-aware BERT for multi-turn response selection in retrieval-based chatbots
Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, and Xiaodan Zhu. 2020 · 2044
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