MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation
Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan
Abstract
Applying existing methods to emotional support conversation—which provides valuable assistance to people who are in need—has two major limitations: (a) they generally employ a conversation-level emotion label, which is too coarse-grained to capture user’s instant mental state; (b) most of them focus on expressing empathy in the response(s) rather than gradually reducing user’s distress. To address the problems, we propose a novel model MISC, which firstly infers the user’s fine-grained emotional status, and then responds skillfully using a mixture of strategy. Experimental results on the benchmark dataset demonstrate the effectiveness of our method and reveal the benefits of fine-grained emotion understanding as well as mixed-up strategy modeling.- Anthology ID:
- 2022.acl-long.25
- Volume:
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Smaranda Muresan, Preslav Nakov, Aline Villavicencio
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 308–319
- Language:
- URL:
- https://aclanthology.org/2022.acl-long.25
- DOI:
- 10.18653/v1/2022.acl-long.25
- Cite (ACL):
- Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, and Rui Yan. 2022. MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 308–319, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation (Tu et al., ACL 2022)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2022.acl-long.25.pdf
- Code
- morecry/misc
- Data
- ATOMIC, ConceptNet