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Response selection plays a vital role in building retrieval-based conversation systems.
Learning to rank: from pairwise approach to listwise approach
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li. 2007 · 2007
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The probabilistic relevance framework: BM25 and beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
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Data-driven response generation in social media
Alan Ritter, Colin Cherry, and William B Dolan. 2011 · 2011
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A dataset for research on short-text conversations
Hao Wang, Zhengdong Lu, Hang Li, and Enhong Chen. 2013 · 2013
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An information retrieval approach to short text conversation
Zongcheng Ji, Zhengdong Lu, and Hang Li. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Improved deep learning baselines for ubuntu corpus dialogs
Rudolf Kadlec, Martin Schmid, and Jan Kleindienst. 2015 · 2015
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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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Neural responding machine for short-text conversation
Lifeng Shang, Zhengdong Lu, and Hang Li. 2015 · 2015
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LSTM-based deep learning models for non-factoid answer selection
Ming Tan, Cicero dos Santos, Bing Xiang, and Bowen Zhou. 2015 · 2015
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Syntax-based deep matching of short texts
Mingxuan Wang, Zhengdong Lu, Hang Li, and Qun Liu. 2015 · 2015
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
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Match-srnn: Modeling the recursive matching structure with spatial rnn
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, and Xueqi Cheng. 2016 · 2016
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Learning natural language inference with LSTM
Shuohang Wang and Jing Jiang. 2016 · 2016
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Incorporating loose-structured knowledge into LSTM with recall gate for conversation modeling
Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, and Xiaolong Wang. 2016 · 2016
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Learning to respond with deep neural networks for retrieval-based human-computer conversation system
Rui Yan, Yiping Song, and Hua Wu. 2016 · 2016
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Multi-view response selection for human-computer conversation
Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, and Rui Yan. 2016 · 2016
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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
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Skeleton-to-response: Dialogue generation guided by retrieval memory
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, and Shuming Shi. 2019a · 2019
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Retrieval-guided dialogue response generation via a matching-to-generation framework
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, and Shuming Shi. 2019b · 2019
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Learning a matching model with co-teaching for multi-turn response selection in retrieval-based dialogue systems
Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, and Rui Yan. 2019 · 2019
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Interactive matching network for multi-turn response selection in retrieval-based chatbots
Jia-Chen Gu, Zhen-Hua Ling, and Quan Liu. 2019 · 2019
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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
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Co-teaching: Robust training of deep neural networks with extremely noisy labels
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, and Masashi Sugiyama. 2018 · 2018
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The alexa meaning representation language
Thomas Kollar, Danielle Berry, Lauren Stuart, Karolina Owczarzak, Tagyoung Chung, Lambert Mathias, Michael Kayser, Bradford Snow, and Spyros Matsoukas. 2018 · 2018
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From eliza to xiaoice: challenges and opportunities with social chatbots
Heung-Yeung Shum, Xiao-dong He, and Di Li. 2018 · 2018
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Learning matching models with weak supervision for response selection in retrieval-based chatbots
Yu Wu, Wei Wu, Zhoujun Li, and Ming Zhou. 2018 · 2018
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Modeling multi-turn conversation with deep utterance aggregation
Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, Hai Zhao, and Gongshen Liu. 2018 · 2018
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Sampling matters! an empirical study of negative sampling strategies for learning of matching models in retrieval-based dialogue systems
Jia Li, Chongyang Tao, wei wu, Yansong Feng, Dongyan Zhao, and Rui Yan. 2019 · 2019
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Constructing interpretive spatio-temporal features for multi-turn responses selection
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, and Zenglin Xu. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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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
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Multi-hop selector network for multi-turn response selection in retrieval-based chatbots
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, and Songlin Hu. 2019 · 2019
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Convolutional neural network architectures for matching natural language sentences
Baotian Hu, Zhengdong Lu, Hang Li, and Qingcai Chen. 2014 · 2050
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