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Retrieve-based dialogue response selection aims to find a proper response from a candidate set given a multi-turn context.
Dialogue response selection with hierarchical curriculum learning
Su, Y.; Cai, D.; Zhou, Q.; Lin, Z.; Baker, S.; Cao, Y.; Shi, S.; Collier, N.; and Wang, Y. 2020 · 2012
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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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Convolutional neural network architectures for matching natural language sentences
Hu, B.; Lu, Z.; Li, H.; and Chen, Q. 2015 · 2015
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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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Vinyals, O.; and Le, Q. 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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Building end-to-end dialogue systems using generative hierarchical neural network models
Serban, I.; Sordoni, A.; Bengio, Y.; Courville, A.; and Pineau, J. 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, L.; 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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Representation learning with contrastive predictive coding
Oord, A. v. d.; Li, Y.; and Vinyals, O. 2018 · 2018
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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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How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
Ethayarajh, K. 2019 · 2019
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Interactive matching network for multi-turn response selection in retrieval-based chatbots
Gu, J.-C.; Ling, Z.-H.; and Liu, Q. 2019 · 2019
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Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2019 · 2019
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Self-Supervised Learning for Contextualized Extractive Summarization
Wang, H.; Wang, X.; Xiong, W.; Yu, M.; Guo, X.; Chang, S.; and Wang, W. Y. 2019 · 2019
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EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
On the Sentence Embeddings from Pre-trained Language Models
Li, B.; Zhou, H.; He, J.; Wang, M.; Yang, Y.; and Li, L. 2020 · 2020
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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. 2020 · 2020
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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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Understanding contrastive representation learning through alignment and uniformity on the hypersphere
Wang, T.; and Isola, P. 2020 · 2020
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An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
Whang, T.; Lee, D.; Lee, C.; Yang, K.; Oh, D.; and Lim, H. 2020 · 2020
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Wei, J.; and Zou, K. 2019 · 2019
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BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Xu, H.; Liu, B.; Shu, L.; and Yu, P. 2019 · 2019
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Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
Yuan, C.; Zhou, W.; Li, M.; Lv, S.; Zhu, F.; Han, J.; and Hu, S. 2019 · 2019
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A simple framework for contrastive learning of visual representations
Chen, T.; Kornblith, S.; Norouzi, M.; and Hinton, G. 2020 · 2020
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Fang, H.; and Xie, P. 2020 · 2020
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Ho, C.-H.; and Vasconcelos, N. 2020 · 2020
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Zhao, Y.; Xu, C.; and Wu, W. 2020 · 2020
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Rethinking pre-training and self-training
Zoph, B.; Ghiasi, G.; Lin, T.-Y.; Cui, Y.; Liu, H.; Cubuk, E. D.; and Le, Q. V. 2020 · 2020
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SimCSE: Simple Contrastive Learning of Sentence Embeddings
Gao, T.; Yao, X.; and Chen, D. 2021 · 2021
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Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
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Fine-grained Post-training for Improving Retrieval-based Dialogue Systems
Han, J.; Hong, T.; Kim, B.; Ko, Y.; and Seo, J. 2021 · 2021
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Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
Xu, R.; Tao, C.; Jiang, D.; Zhao, X.; Zhao, D.; and Yan, R. 2021 · 2021
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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 · 2044
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