There have been several attempts to define a plausible motivation for a chit-chat dialogue agent that can lead to engaging conversations.
Reading the bibliography…
A rational analysis of the selection task as optimal data selection
Mike Oaksford and Nick Chater. 1994 · 1994
Earlier work this paper cites.
Active Learning Strategies in a Spatial Concept Learning Game
Todd M Gureckis and Douglas B. Markant. 2009 · 2009
Earlier work this paper cites.
News from OPUS – a collection of multilingual parallel corpora with tools and interfaces
Jörg Tiedemann. 2009 · 2009
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Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs
Cristian Danescu-Niculescu-Mizil and Lillian Lee. 2011 · 2011
Earlier work this paper cites.
Data-driven response generation in social media
Alan Ritter, Colin Cherry, and William B. Dolan. 2011 · 2011
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
Earlier work this paper cites.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Earlier work this paper cites.
Neural responding machine for short-text conversation
Lifeng Shang, Zhengdong Lu, and Hang Li. 2015 · 2015
Earlier work this paper cites.
A neural network approach to context-sensitive generation of conversational responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015 · 2015
Earlier work this paper cites.
Oriol Vinyals and Quoc V. Le. 2015 · 2015
Cited alongside, same era.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
Cited alongside, same era.
How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Asking and evaluating natural language questions
Anselm Rothe, Brenden M. Lake, and Todd M. Gureckis. 2016 · 2016
Cited alongside, same era.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016 . The Association for Computational Linguistics
Jian Su, Xavier Carreras, and Kevin Duh, editors. 2016a · 2016
Cited alongside, same era.
A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, and Steve J. Young. 2016 · 2016
Cited alongside, same era.
Deep active learning for dialogue generation
Nabiha Asghar, Pascal Poupart, Xin Jiang, and Hang Li. 2017 · 2017
Cited alongside, same era.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers . Association for Computational Linguistics
Regina Barzilay and Min-Yen Kan, editors. 2017 · 2017
Cited alongside, same era.
Dailydialog: A manually labelled multi-turn dialogue dataset
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017 · 2017
Cited alongside, same era.
Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau. 2017 · 2017
Cited alongside, same era.
Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016b
Cited in the paper.
Continuously learning neural dialogue management
Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, and Steve J. Young. 2016b
Cited in the paper.
Parlai: A dialog research software platform
Alexander H. Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, and Jason Weston. 2017 · 2017
Later among the works it cites.
A hierarchical latent variable encoder-decoder model for generating dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio. 2017 · 2017
Later among the works it cites.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA . AAAI Press
Satinder P. Singh and Shaul Markovitch, editors. 2017 · 2017
Later among the works it cites.
Learning discourse-level diversity for neural dialog models using conditional variational autoencoders
Tiancheng Zhao, Ran Zhao, and Maxine Eskénazi. 2017 · 2017
Later among the works it cites.
Mechanism-aware neural machine for dialogue response generation
Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, and Qing He. 2017 · 2017
Later among the works it cites.
Learning to control the specificity in neural response generation
Xueqi Cheng, Jun Xu, Jiafeng Guo, Yanyan Lan, Ruqing Zhang, and Yixing Fan. 2018 · 2018
Closest in time.
Dialogwae: Multimodal response generation with conditional wasserstein auto-encoder
Xiaodong Gu, Kyunghyun Cho, JungWoo Ha, and Sunghun Kim. 2018 · 2018
Closest in time.
Improving variational encoder-decoders in dialogue generation
Xiaoyu Shen, Hui Su, Shuzi Niu, and Vera Demberg. 2018 · 2018
Closest in time.
Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Closest in time.
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