Multi-stream Information Fusion Framework for Emotional Support Conversation

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原文链接

NETL

外文摘要：Emotional support conversation (ESC) task aims to relieve the emotional distress of users who have high-intensity of negative emotions。 However， due to the ignorance of emotion intensity modelling which is essential for ESC， previous methods fail to capture the transition of emotion intensity effectively。 To this end， we propose a Multi-stream information Fusion Framework (MFF-ESC) to thoroughly fuse three streams (text semantics stream， emotion intensity stream， and feedback stream) for the modelling of emotion intensity， based on a designed multi-stream fusion unit。 As the difficulty of modelling subtle transitions of emotion intensity and the strong emotion intensity-feedback correlations， we use the Kullback-Leibler divergence between feedback distribution and emotion intensity distribution to further guide the learning of emotion intensities。 Experimental results on automatic and human evaluations indicate the effectiveness of our method。

外文关键词：

emotional support conversationemotion intensityresponse generation

作者：

Yinan Bao、Dou Hu、Lingwei Wei、Shuchong Wei、Wei Zhou、Songlin Hu

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作者单位：

Institute of Information Engineering, Chinese Academy of Sciences##School of Cyber Security, University of Chinese Academy of Sciences

Institute of Information Engineering, Chinese Academy of Sciences

会议名称：

Joint International Conference on Computational Linguistics, Language Resources and Evaluation

会议地点：

Torino(IT)

会议母体文献：

2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation

页码：

11981-11992

出版时间：

2024