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MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation

Quan Tu,Yanran Li,3 Authors,Rui Yan

2022 · DOI: 10.48550/arXiv.2203.13560
Annual Meeting of the Association for Computational Linguistics · 153 Citations

TLDR

A novel model is proposed, which firstly infers the user’s fine-grained emotional status, and then responds skillfully using a mixture of strategy, which reveals the benefits of fine- grained emotion understanding as well as mixed-up strategy modeling.

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 \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.