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MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation (2203.13560v2)

Published 25 Mar 2022 in cs.CL

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

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Authors (6)
  1. Quan Tu (16 papers)
  2. Yanran Li (32 papers)
  3. Jianwei Cui (18 papers)
  4. Bin Wang (750 papers)
  5. Ji-Rong Wen (299 papers)
  6. Rui Yan (250 papers)
Citations (85)

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