Lin, Qian;
Chen, Yihong;
Chen, Bei;
Lou, Jian-Guang;
Chen, Zixuan;
Zhou, Bin;
Zhang, Dongmei;
(2020)
You Impress Me: Dialogue Generation via Mutual Persona Perception.
In:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL).
(pp. pp. 1417-1427).
ACL (Association for Computational Linguistics)
(In press).
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Abstract
Despite the continuing efforts to improve the engagingness and consistency of chit-chat dialogue systems, the majority of current work simply focus on mimicking human-like responses, leaving understudied the aspects of modeling understanding between interlocutors. The research in cognitive science, instead, suggests that understanding is an essential signal for a high-quality chit-chat conversation. Motivated by this, we propose P<sup>2</sup> BOT, a transmitter-receiver based framework with the aim of explicitly modeling understanding. Specifically, P<sup>2</sup> BOT incorporates mutual persona perception to enhance the quality of personalized dialogue generation. Experiments on a large public dataset, PERSONA-CHAT, demonstrate the effectiveness of our approach, with a considerable boost over the state-of-the-art baselines across both automatic metrics and human evaluations.
| Type: | Proceedings paper |
|---|---|
| Title: | You Impress Me: Dialogue Generation via Mutual Persona Perception |
| Event: | ACL 2020 |
| Location: | ELECTR NETWORK |
| Dates: | 5 Jul 2020 - 10 Jul 2020 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.18653/v1/2020.acl-main.131 |
| Publisher version: | https://doi.org/10.18653/v1/2020.acl-main.131 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Science & Technology, Social Sciences, Technology, Computer Science, Artificial Intelligence, Linguistics, Computer Science |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10211292 |
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