Fetching the paper…
Reading the bibliography…
Learning interpretable dialog structure from human-human dialogs yields basic insights into the structure of conversation, and also provides background knowledge to facilitate dialog generation.
A Discrete CVAE for Response Generation on Short-Text Conversation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 1898–1908
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, and Shuming Shi. 2019 · 1908
Earlier work this paper cites.
ELIZA—a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum. 1966 · 1966
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation. In ACL . Association for Computational Linguistics, 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Learning the structure of task-oriented conversations from the corpus of in-domain dialogs. In Ph.D. thesis, Carnegie Mellon University
Ananlada Chotimongkol. 2008 · 2008
Earlier work this paper cites.
The probabilistic relevance framework: BM25 and beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
Earlier work this paper cites.
The anatomy of ALICE
Richard S Wallace. 2009 · 2009
Earlier work this paper cites.
An Information Retrieval Approach to Short Text Conversation
Zongcheng Ji, Zhengdong Lu, and Hang Li. 2014 · 2014
Earlier work this paper cites.
Auto-encoding variational bayes. In ICLR
Diederik P Kingma and Max Welling. 2014 · 2014
Earlier work this paper cites.
Discovering latent structure in task-oriented dialogues. In ACL
Ke Zhai and Jason Williams. 2014 · 2014
Earlier work this paper cites.
Neural responding machine for short-text conversation. In ACL . 1577––1586
Lifeng Shang, Zheng dong Lu, and Hang Li. 2015 · 2015
Earlier work this paper cites.
Deep Reinforcement Learning for Dialogue Generation. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing . 1192–1202
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016b · 2016
Earlier work this paper cites.
Building end-to-end dialogue systems using gener- ative hierarchical neural network models. In AAAI . 3776––3784
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, and Joelle Pineau. 2016 · 2016
Earlier work this paper cites.
Learning to respond with deep neural networks for retrieval-based human-computer conversation system. In Proceedings of SIGIR
Rui Yan, Yiping Song, and Hua Wu. 2016 · 2016
Earlier work this paper cites.
Categorical Reparameterization with Gumbel-Softmax. In ICLR
Eric Jang, Shixiang Gu, and Ben Poole. 2017 · 2017
Earlier work this paper cites.
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.. In AAAI
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C Courville, and Yoshua Bengio. 2017 · 2017
Cited alongside, same era.
Generating high-quality and informative conversation responses with sequence-to-sequence models. In Proceedings of EMNLP
Yuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, and Ray Kurzweil. 2017 · 2017
Cited alongside, same era.
Neural discrete representation learning. In Advances in Neural Information Processing Systems
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Cited alongside, same era.
Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots. In Proceedings of AAAI
Yu Wu, Wei Wu, Chen Xing, Ming Zhou, and Zhoujun Li. 2017 · 2017
Cited alongside, same era.
Topic Aware Neural Response Generation.. In AAAI , Vol. 17. 3351–3357
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, and Wei-Ying Ma. 2017 · 2017
Subgoal Discovery for Hierarchical Dialogue Policy Learning. In EMNLP
Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, and Tony Jebara. 2018 · 2018
Later among the works it cites.
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism.. In IJCAI . 4418–4424
Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, and Rui Yan. 2018 · 2018
Later among the works it cites.
Chat More: Deepening and Widening the Chatting Topic via A Deep Model. In SIGIR
Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, and Liqiang Nie. 2018 · 2018
Later among the works it cites.
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation. In ACL . 1098–1107
Tiancheng Zhao, Kyusong Lee, and Maxine Eskenazi. 2018 · 2018
Later among the works it cites.
Multi-turn response selection for chatbots with deep attention matching network. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. In Proceedings of IJCNN
Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, and Xiaolong Wang. 2017 · 2017
Cited alongside, same era.
Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems. In EMNLP . 2190–2199
Lili Yao, Yaoyuan Zhang, Yansong Feng, Dongyan Zhao, and Rui Yan. 2017 · 2017
Cited alongside, same era.
Learning Discourse-level Diversity for Neural Dialog Models Using Conditional Variational Autoencoders. In ACL
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi. 2017 · 2017
Cited alongside, same era.
An Ensemble Approach to Conversation Generation. In National CCF Conference on Natural Language Processing and Chinese Computing
Yimeng Zhuang, Xianliang Wang, Han Zhang, Jinghui Xie, and Xuan Zhu. 2017 · 2017
Cited alongside, same era.
Overview of the NLPCC 2018 Shared Task: Multi-turn Human-Computer Conversations. In CCF International Conference on Natural Language Processing and Chinese Computing . Springer, 446–451
Juntao Li and Rui Yan. 2018 · 2018
Cited alongside, same era.
Towards a Continuous Knowledge Learning Engine for Chatbots
Sahisnu Mazumder, Nianzu Ma, and Bing Liu. 2018 · 2018
Cited alongside, same era.
Exemplar Encoder-Decoder for Neural Conversation Generation. In Proceedings of ACL
Gaurav Pandey, Danish Contractor, Vineet Kumar, and Sachindra Joshi. 2018 · 2018
Cited alongside, same era.
Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, and Hua Wu. 2018 · 2018
Later among the works it cites.
Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection
Chaotao Chen, Jinhua Peng, Fan Wang, Jun Xu, and Hua Wu. 2019 · 2019
Later among the works it cites.
Approximating interactive human evaluation with self-play for open-domain dialog systems. In NIPS
Asma Ghandeharioun, Judy Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, and Rosalind Picard. 2019 · 2019
Later among the works it cites.
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. In EMNLP
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, and Jason Weston. 2019 · 2019
Later among the works it cites.
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs. In ACL
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba. 2019 · 2019
Later among the works it cites.
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables. In ACL
Lei Shen, Yang Feng, and Haolan Zhan. 2019 · 2019
Later among the works it cites.
Unsupervised Dialog Structure Learning. In NAACL
Weiyan Shi, Tiancheng Zhao, and Zhou Yu. 2019 · 2019
Later among the works it cites.
Learning to Abstract for Memory-augmented Conversational Response Generation. In ACL
Zhiliang Tian, Wei Bi, Xiaopeng Li, and Nevin L. Zhang. 2019 · 2019
Later among the works it cites.
A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots
Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, and Ming Zhou. 2019b · 2019
Later among the works it cites.
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Online, 1835–1845
Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, and Ting Liu. 2020 · 2020
Closest in time.