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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Lili Yin,Xiaoqiang Du,Hengwen Gu.Empathetic Response Generation Based on Topic Shifting[J].Journal of Harbin Institute Of Technology(New Series),2025,32(5):65-73.DOI:10.11916/j.issn.1005-9113.2024067.
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Empathetic Response Generation Based on Topic Shifting
Author NameAffiliation
Lili Yin College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China 
Xiaoqiang Du College of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China 
Hengwen Gu No.703 Research Institute of China Shipbuilding Industry Corporation, Harbin 150001, China 
Abstract:
The current dialogue system can be sensitive to the emotions in the user's words, generating an empathetic response to help calm the user's emotions. But in some cases, eliciting empathetic responses may not adequately mitigate the adverse effects that the current conversation topic is having on users. The dialogue system will continue the conversation with the user under this uncomfortable topic, which will lead to a worse chat situation or even an impasse. To solve this problem, a dialogue system that can change the topic autonomously according to the user's emotions is proposed in this paper. Specifically, the dialogue system first collects the emotional semantic information of the users and then detects it according to the emotion classification module. Once the detection results show that the user is in a bad mood, the topic change module selects a new topic from the context to shift to and generates a response . This not only helps to calm the user's mood but also move the conversation to a new area, steering the user away from the uncomfortable topic. The experimental results show that the proposed method incurs less cost in terms of content quality, but improves the emotional perception ability. Additionally, it endows the dialogue system with the ability to change the topic, and improves the user's dialogue experience.
Key words:  topic shifting  empathetic response  emotion classification
DOI:10.11916/j.issn.1005-9113.2024067
Clc Number:TP18
Fund:
Descriptions in Chinese:
  

基于话题转移的共情反应生成


尹莉莉1,杜孝强1,顾恒文12
(1.哈尔滨理工大学 计算机科学与技术学院,哈尔滨 150080;

2.中国船舶集团有限公司第703研究所,哈尔滨 150001)

摘要:目前的对话系统能做到对用户话语中的情绪敏感,从而产生同情的回复,安抚用户的情绪。但在一些情况下,产生同情的回复并不能解决当前对话处于糟糕的困境。对话系统会在这个糟糕的话题下继续和用户进行对话,从而导致聊天状况更差,甚至陷入僵局。为解决这种情况,本文提出一种会根据用户情感选择自主转移话题的对话系统。该对话系统首先收集用户的情感语义信息,然后根据情感分类模块检测用户话语的情绪;当检测到用户情绪糟糕时,话题转移模块会从上下文中选择话题,生成转移话题的回复。这样既能安抚用户情绪,还能将对话转移到新的领域,从而摆脱糟糕的话题。实验结果表明,该方法在内容质量方面付出较少的代价,但提高了情感感知能力,赋予了对话系统转移话题能力,提高了用户对话体验。

关键词:话题转移;移情反应;情感分类

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