MISC: A Mixed Strategy-aware Model Integrating COMET For Emotional Support Conversation | Awesome LLM Papers Add your paper to Awesome LLM Papers

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 . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2022 – 54 citations

[Code] [Paper]   Search on Google Scholar   Search on Semantic Scholar
ACL Datasets Evaluation Has Code Interdisciplinary Approaches

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 \textbf{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. Our code and data could be found in https://github.com/morecry/MISC.

Similar Work