Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement
Dongshi Ju, Shi Feng, Pengcheng Lv, Daling Wang, Yifei Zhang
Abstract
In an open-domain dialogue system, the consistent persona is a key factor to generate real and coherent dialogues. Existing methods suffer from the incomprehensive persona tags that have unique and obscure meanings to describe human’s personality. Besides, the addressee information, which is closely related to express personality in multi-party dialogues, has been neglected. In this paper, we construct a multi-party personalized dialogue dataset and propose a graph convolution network model (PersonaTKG) with addressee selecting mechanism that integrates personas, dialogue utterances, and external text knowledge in a unified graph. Extensive experiments have shown that PersonaTKG outperforms the baselines by large margins and effectively improves persona consistency in the generated responses.- Anthology ID:
- 2022.coling-1.23
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 298–309
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.23
- DOI:
- Cite (ACL):
- Dongshi Ju, Shi Feng, Pengcheng Lv, Daling Wang, and Yifei Zhang. 2022. Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement. In Proceedings of the 29th International Conference on Computational Linguistics, pages 298–309, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement (Ju et al., COLING 2022)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.coling-1.23.pdf
- Data
- HLA-Chat