APTNESS:融合评价理论与情感支持策略的共情回复生成
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
AI总结:
APTNESS框架通过评价理论构建共情回复数据库并结合情感支持策略与检索增强,从认知和情感共情两方面提升大语言模型的共情回复能力。
摘要:
共情回复生成旨在理解他人的情绪,并选择最合适的策略来帮助他们解决情感困扰。共情可以分为认知共情和情感共情。前者涉及理解和辨别他人情绪问题与处境的能力,后者则涉及提供安慰的能力。为了提升一个人的共情能力,必须同时发展这两个方面。因此,我们开发了一个结合检索增强与情感支持策略整合的创新框架。我们的框架首先引入了一个全面的共情情感调色板。随后,我们应用评价理论对该调色板进行分解,并构建了一个共情回复数据库。该数据库作为外部资源,通过整合语义检索机制来增强大语言模型(LLM)的共情能力。此外,我们的框架高度重视回复策略的恰当表达。通过融入情感支持策略,我们旨在丰富模型在认知共情和情感共情两方面的能力,从而产生更细致、更全面的共情回复。最后,我们基于对话长度从共情对话数据集EmpatheticDialogues和ExTES中提取了数据集ED和ET。实验表明,我们的框架能够从认知共情和情感共情两个角度增强大语言模型的共情能力。我们的代码已发布在https://github.com/CAS-SIAT-XinHai/APTNESS。
英文摘要:
Empathetic response generation is designed to comprehend the emotions of others and select the most appropriate strategies to assist them in resolving emotional challenges. Empathy can be categorized into cognitive empathy and affective empathy. The former pertains to the ability to understand and discern the emotional issues and situations of others, while the latter involves the capacity to provide comfort. To enhance one's empathetic abilities, it is essential to develop both these aspects. Therefore, we develop an innovative framework that combines retrieval augmentation and emotional support strategy integration. Our framework starts with the introduction of a comprehensive emotional palette for empathy. We then apply appraisal theory to decompose this palette and create a database of empathetic responses. This database serves as an external resource and enhances the LLM's empathy by integrating semantic retrieval mechanisms. Moreover, our framework places a strong emphasis on the proper articulation of response strategies. By incorporating emotional support strategies, we aim to enrich the model's capabilities in both cognitive and affective empathy, leading to a more nuanced and comprehensive empathetic response. Finally, we extract datasets ED and ET from the empathetic dialogue dataset \textsc{EmpatheticDialogues} and ExTES based on dialogue length. Experiments demonstrate that our framework can enhance the empathy ability of LLMs from both cognitive and affective empathy perspectives. Our code is released at https://github.com/CAS-SIAT-XinHai/APTNESS.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。