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
摘要
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. Our code and data could be found in https://github. com/morecry/MISC .
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引用它的顶会 Paper29
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- Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge GraphsHouyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan LiuACL 2020 · 被引用 125 次
- Language Generation with Multi-Hop Reasoning on Commonsense Knowledge GraphHaozhe Ji, Pei Ke, Shaohan Huang, Furu Wei 等EMNLP 2020 · 被引用 96 次
- CARE: Commonsense-Aware Emotional Response Generation with Latent ConceptsPeixiang Zhong, Di Wang, Pengfei Li, Chen Zhang 等AAAI 2021 · 被引用 37 次
- MIME: MIMicking Emotions for Empathetic Response GenerationNavonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu 等EMNLP 2020 · 被引用 15 次
- Towards Emotional Support Dialog SystemsSiyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour 等ACL 2021
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