PECER: Empathetic Response Generation Via Dynamic Personality Extraction and Contextual Emotional Reasoning | IEEE Conference Publication | IEEE Xplore

PECER: Empathetic Response Generation Via Dynamic Personality Extraction and Contextual Emotional Reasoning


Abstract:

Empathy is a key factor in human emotional communication and social interaction. Personality is closely related to empathy, which is shaped by the interaction of cognitio...Show More

Abstract:

Empathy is a key factor in human emotional communication and social interaction. Personality is closely related to empathy, which is shaped by the interaction of cognition and affection, and plays a crucial role in emotional expression. However, previous studies have neglected personality as an important empathetic factor. In this work, we propose a dynamic Personality Extraction and Contextual Emotional Reasoning (PECER) model for empathetic dialogue generation. We constructed a contextual emotional reasoner that predicts emotional reactions based on dialogue history. Then we use a personality extractor to dynamically extract the speaker’s personality. Furthermore, a fusion mechanism is designed to inject dialogue history, personality and emotional reactions into the empathetic response generation process. Experimental results show that PECER outperforms state-of-the-art baselines in both automatic and human evaluation.
Date of Conference: 14-19 April 2024
Date Added to IEEE Xplore: 18 March 2024
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Conference Location: Seoul, Korea, Republic of

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