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In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems.
Roberta: A robustly optimized bert pretraining approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907
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HuggingFace’s Transformers: State-of-the-art Natural Language Processing
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Cui, Y.; Che, W.; Liu, T.; Qin, B.; Wang, S.; and Hu, G. 2020 · 2004
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A dataset for research on short-text conversations
Wang, H.; Lu, Z.; Li, H.; and Chen, E. 2013 · 2013
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Improved deep learning baselines for ubuntu corpus dialogs
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The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
Lowe, R.; Pow, N.; Serban, I.; and Pineau, J. 2015 · 2015
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Syntax-Based Deep Matching of Short Texts
Wang, M.; Lu, Z.; Li, H.; and Liu, Q. 2015 · 2015
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Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
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Learning Natural Language Inference with LSTM
Wang, S.; and Jiang, J. 2016 · 2016
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Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System
Yan, R.; Song, Y.; and Wu, H. 2016 · 2016
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Multi-view Response Selection for Human-Computer Conversation
Zhou, X.; Dong, D.; Wu, H.; Zhao, S.; Yu, D.; Tian, H.; Liu, X.; and Yan, R. 2016 · 2016
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots
Wu, Y.; Wu, W.; Xing, C.; Zhou, M.; and Li, Z. 2017 · 2017
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Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM
Xu, Z.; Liu, B.; Wang, B.; Sun, C.; and Wang, X. 2017 · 2017
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Modeling Multi-turn Conversation with Deep Utterance Aggregation
Zhang, Z.; Li, J.; Zhu, P.; Zhao, H.; and Liu, G. 2018 · 2018
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Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
Zhou, X.; Li, L.; Dong, D.; Liu, Y.; Chen, Y.; Zhao, W. X.; Yu, D.; and Wu, H. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
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Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
Gu, J.-C.; Li, T.; Liu, Q.; Ling, Z.-H.; Su, Z.; Wei, S.; and Zhu, X. 2020 · 2020
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Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
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Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation
Lu, J.; Ren, X.; Ren, Y.; Liu, A.; and Xu, Z. 2020 · 2020
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An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
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Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
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Convolutional neural network architectures for matching natural language sentences
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