What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue
Deuksin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, Eric Davis
Abstract
This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleaved with casual response turns. The proposed approach involves weighted dataset blending, negative persona information augmentation methods, and the design of personalized conversation datasets to address the challenges of WWH in personalized, open-domain dialogue systems. Our work effectively balances dialogue fluency and tendency to ground, while also introducing a response-type label to improve the controllability and explainability of the grounded responses. The combination of these methods leads to more fluent conversations, as evidenced by subjective human evaluations as well as objective evaluations.- Anthology ID:
- 2023.acl-industry.68
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Sunayana Sitaram, Beata Beigman Klebanov, Jason D Williams
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 707–719
- Language:
- URL:
- https://aclanthology.org/2023.acl-industry.68
- DOI:
- 10.18653/v1/2023.acl-industry.68
- Cite (ACL):
- Deuksin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, and Eric Davis. 2023. What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 707–719, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue (Kwon et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.acl-industry.68.pdf