2021

A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles

Pei, Jiahuan, Ren, Pengjie, de Rijke, Maarten

Understand

There is increasing interest in developing personalized Task-oriented Dialogue Systems (TDSs).

Previous work on personalized TDSs often assumes that complete user profiles are available for most or even all users.
This is unrealistic because (1) not everyone is willing to expose their profiles due to privacy concerns; and (2) rich user profiles may involve a large number of attributes (e.g., gender, age, tastes, .
.

Built on

On the difficulty of training recurrent neural networks. In ICML . 1310–1318
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
Earlier work this paper cites.
POMDP-based statistical spoken dialog systems: A review
Steve Young, Milica Gašić, Blaise Thomson, and Jason D Williams. 2013 · 2013
Earlier work this paper cites.
Personal knowledge graph population from user utterances in conversational understanding. In 2014 IEEE Spoken Language Technology Workshop (SLT) . IEEE, 224–229
Xiang Li, Gokhan Tur, Dilek Hakkani-Tür, and Qi Li. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks. In NeurIPS . 3104–3112
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
Evaluating prerequisite qualities for learning end-to-end dialog systems
Original
Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander Miller, Arthur Szlam, and Jason Weston. 2015 · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization. In ICLR
Diederik Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
End-to-end memory networks. In Advances in neural information processing systems . 2440–2448
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
Earlier work this paper cites.
Collaborative deep learning for recommender systems. In SIGKDD . ACM, 1235–1244
Hao Wang, Naiyan Wang, and Dit-Yan Yeung. 2015 · 2015
Earlier work this paper cites.
Learning end-to-end goal-oriented dialog
Original
Antoine Bordes, Y-Lan Boureau, and Jason Weston. 2016 · 2016
Earlier work this paper cites.
A persona-based neural conversation model. In ACL . 994–1003
Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Earlier work this paper cites.
Learning end-to-end goal-oriented dialog. In ICLR
Antoine Bordes and Jason Weston. 2017 · 2017
Earlier work this paper cites.
A survey on dialogue systems: Recent advances and new frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin, and Jiliang Tang. 2017 · 2017
Earlier work this paper cites.
Key-value retrieval networks for task-oriented dialogue. In SIGDIAL . 37–49
Mihail Eric, Lakshmi Krishnan, Francois Charette, and Christopher D Manning. 2017 · 2017
Earlier work this paper cites.
Controlling linguistic style aspects in neural language generation. In Proceedings of the Workshop on Stylistic Variation . 94–104
Jessica Ficler and Yoav Goldberg. 2017 · 2017
Earlier work this paper cites.
Neural response generation for customer service based on personality traits. In Proceedings of the 10th International Conference on Natural Language Generation . 252–256
Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, and David Konopnicki. 2017 · 2017
Earlier work this paper cites.
Personalization in goal-oriented dialog. In NIPS Conversational AI Workshop
Chaitanya K Joshi, Fei Mi, and Boi Faltings. 2017 · 2017
Earlier work this paper cites.
Gated end-to-end memory networks. In EACL . 1–10
Fei Liu and Julien Perez. 2017 · 2017
Earlier work this paper cites.

Similar

Multi-task learning for speaker-role adaptation in neural conversation models. In IJCNLP . 605–614
Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, and Michel Galley. 2017 · 2017
Cited alongside, same era.
A network-based end-to-end trainable task-oriented dialogue system. In EACL . 438–449
Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, Milica Gasic, Lina M Rojas Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young. 2017 · 2017
Cited alongside, same era.
Hybrid code networks: Practical and efficient end-to-end dialog control with supervised and reinforcement learning. In ACL . 665–677
Jason D Williams, Kavosh Asadi, and Geoffrey Zweig. 2017 · 2017
Cited alongside, same era.
Personalized response generation via domain adaptation. In SIGIR . 1021–1024
Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu, Lianqiang Zhou, and Zigang Cao. 2017 · 2017
Cited alongside, same era.
Mem2Seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems. In ACL . 1468–1478
Andrea Madotto, Chien-Sheng Wu, and Pascale Fung. 2018 · 2018
Cited alongside, same era.
Training millions of personalized dialogue agents. In EMNLP . 2775–2779
Pierre-Emmanuel Mazare, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018 · 2018
Cited alongside, same era.
Personalizing a dialogue system with transfer reinforcement learning. In AAAI . 5317–5324
Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, and Qiang Yang. 2018 · 2018
Cited alongside, same era.
Assigning personality/profile to a chatting machine for coherent conversation generation.. In IJCAI . 4279–4285
Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. 2018 · 2018
Cited alongside, same era.
Learning end-to-end goal-oriented dialog with multiple answers. In EMNLP . 3834–3843
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, and Lazaros Polymenakos. 2018 · 2018
Cited alongside, same era.
End-to-end dynamic query memory network for entity-value independent task-oriented dialog. In IEEE-ICASSP . IEEE, 6154–6158
Chien-Sheng Wu, Andrea Madotto, Genta Indra Winata, and Pascale Fung. 2018 · 2018
Cited alongside, same era.
Personalizing dialogue agents: I have a dog, do you have pets too?. In ACL . 2204–2213
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Cited alongside, same era.
Training neural response selection for task-oriented dialogue systems. In ACL . 5392–5404
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, and Pei-Hao Su. 2019 · 2019
Cited alongside, same era.

Then

Listening between the lines: learning personal attributes from conversations. In The Web Conference . ACM, 1818–1828
Anna Tigunova, Andrew Yates, Paramita Mirza, and Gerhard Weikum. 2019 · 2019
Later among the works it cites.
Transfertransfo: A transfer learning approach for neural network based conversational agents
Original
Thomas Wolf, Victor Sanh, Julien Chaumond, and Clement Delangue. 2019 · 2019
Later among the works it cites.
Automatic generation of personalized comment based on user profile. In ACL: Student Research Workshop . 229–235
Wenhuan Zeng, Abulikemu Abuduweili, Lei Li, and Pengcheng Yang. 2019 · 2019
Later among the works it cites.
Neural personalized response generation as domain adaptation
Wei-Nan Zhang, Qingfu Zhu, Yifa Wang, Yanyan Zhao, and Ting Liu. 2019 · 2019
Later among the works it cites.
Personalized dialogue generation with diversified traits
Original
Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, and Xuan Zhu. 2019 · 2019
Later among the works it cites.
ALOHA: Artificial learning of human attributes for dialogue agents. In AAAI . 8155–8163
Aaron W Li, Veronica Jiang, Steven Y Feng, Julia Sprague, Wei Zhou, and Jesse Hoey. 2020 · 2020
Later among the works it cites.
Grayscale data construction and multi-level ranking objective for dialogue response selection
Original
Zibo Lin, Deng Cai, Yan Wang, Xiaojiang Liu, Hai-Tao Zheng, and Shuming Shi. 2020 · 2020
Later among the works it cites.
You impress me: Dialogue generation via mutual persona perception
Original
Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, and Dongmei Zhang. 2020 · 2020
Later among the works it cites.
Retrospective and prospective mixture-of-generators for task-oriented dialogue response generation. In ECAI . 2148–2155
Jiahuan Pei, Pengjie Ren, Christof Monz, and Maarten de Rijke. 2020 · 2020
Later among the works it cites.
Generate, delete and rewrite: A three-stage framework for improving persona consistency of dialogue generation
Original
Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, and Ting Liu. 2020 · 2020
Later among the works it cites.
Extracting personal information from conversations. In Companion Proceedings of The Web Conference 2020 . 284–288
Anna Tigunova. 2020 · 2020
Later among the works it cites.
Getting to know you: User attribute extraction from dialogues. In Proceedings of the 12th Language Resources and Evaluation Conference . 581–589
Chien-Sheng Wu, Andrea Madotto, Zhaojiang Lin, Peng Xu, and Pascale Fung. 2020 · 2020
Later among the works it cites.
A neural topical expansion framework for unstructured persona-oriented dialogue generation. In ECAI . –
Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, and Jun Ma. 2020 · 2020
Later among the works it cites.
A memory network based end-to-end personalized task-oriented dialogue generation
Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, and Zhongjie Wang. 2020 · 2020
Later among the works it cites.
A Pre-training based personalized dialogue generation model with persona-sparse data. In AAAI . 9693–9700
Yinhe Zheng, Rongsheng Zhang, Minlie Huang, and Xiaoxi Mao. 2020 · 2020
Later among the works it cites.
The design and implementation of xiaoice, an empathetic social chatbot
Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum. 2020 · 2020
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Reading the bibliography…