EM Pre-training for Multi-party Dialogue Response Generation

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

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Multi-turn response selection using dialogue dependency relations

Qi Jia, Yizhu Liu, Siyu Ren, Kenny Zhu, and Haifeng Tang. 2020 · 1920

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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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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

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Improving language understanding by generative pre-training

Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018

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Addressee and response selection in multi-party conversations with speaker interaction rnns

Rui Zhang, Honglak Lee, Lazaros Polymenakos, and Dragomir R. Radev. 2018 · 2018

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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

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GSN: A graph-structured network for multi-party dialogues

Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, and Rui Yan. 2019 · 2019

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A discrete hard EM approach for weakly supervised question answering

Sewon Min, Danqi Chen, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2019 · 2019

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A deep sequential model for discourse parsing on multi-party dialogues

Zhouxing Shi and Minlie Huang. 2019 · 2019

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PLATO: Pre-trained dialogue generation model with discrete latent variable

Siqi Bao, Huang He, Fan Wang, Hua Wu, and Haifeng Wang. 2020 · 2020

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ELECTRA: pre-training text encoders as discriminators rather than generators

Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020

Cited alongside, same era.

BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Response selection for multi-party conversations with dynamic topic tracking

Weishi Wang, Steven C.H. Hoi, and Shafiq Joty. 2020 · 2020

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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

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DialogVED: A pre-trained latent variable encoder-decoder model for dialog response generation

Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, and Nan Duan. 2022 · 2022

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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

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Back to the future: Bidirectional information decoupling network for multi-turn dialogue modeling

Yiyang Li, Hai Zhao, and Zhuosheng Zhang. 2022b · 2022