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EmpHi: Generating Empathetic Responses with Human-like Intents
- Publication Year :
- 2022
-
Abstract
- In empathetic conversations, humans express their empathy to others with empathetic intents. However, most existing empathetic conversational methods suffer from a lack of empathetic intents, which leads to monotonous empathy. To address the bias of the empathetic intents distribution between empathetic dialogue models and humans, we propose a novel model to generate empathetic responses with human-consistent empathetic intents, EmpHi for short. Precisely, EmpHi learns the distribution of potential empathetic intents with a discrete latent variable, then combines both implicit and explicit intent representation to generate responses with various empathetic intents. Experiments show that EmpHi outperforms state-of-the-art models in terms of empathy, relevance, and diversity on both automatic and human evaluation. Moreover, the case studies demonstrate the high interpretability and outstanding performance of our model.<br />Comment: Accepted to NAACL 2022
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2204.12191
- Document Type :
- Working Paper