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Addressing the issues of who saying what to whom in multi-party conversations (MPCs) has recently attracted a lot of research attention.
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.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2009 · 2009
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 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.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 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. 2018 · 2018
Cited alongside, same era.
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.
End-to-end transition-based online dialogue disentanglement
Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, and Xiaodan Zhu. 2020 · 2020
Later among the works it cites.
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.
MPC-BERT: A pre-trained language model for multi-party conversation understanding
Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, and Daxin Jiang. 2021 · 2021
Later among the works it cites.
Unsupervised conversation disentanglement through co-training
Hui Liu, Zhan Shi, and Xiaodan Zhu. 2021 · 2021
Later among the works it cites.
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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.
GSN: A graph-structured network for multi-party dialogues
Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, and Rui Yan. 2019 · 2019
Cited alongside, same era.
A large-scale corpus for conversation disentanglement
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph Peper, Vignesh Athreya, R. Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C. Polymenakos, and Walter S. Lasecki. 2019 · 2019
Cited alongside, same era.
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. 2019 · 2019
Cited alongside, same era.
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, and Jason Weston. 2021 · 2021
Later among the works it cites.
HeterMPC: A heterogeneous graph neural network for response generation in multi-party conversations
Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, and Daxin Jiang. 2022 · 2022
Later among the works it cites.
Back to the future: Bidirectional information decoupling network for multi-turn dialogue modeling
Yiyang Li, Hai Zhao, and Zhuosheng Zhang. 2022 · 2022
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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