Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150968
Title: Towards persona-based empathetic conversational models
Authors: Zhong, Peixiang
Zhang, Chen
Wang, Hao
Liu, Yong
Miao, Chunyan
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Source: Zhong, P., Zhang, C., Wang, H., Liu, Y. & Miao, C. (2020). Towards persona-based empathetic conversational models. 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 6556-6566. https://dx.doi.org/10.18653/v1/2020.emnlp-main.531
Abstract: Empathetic conversational models have been shown to improve user satisfaction and task outcomes in numerous domains. In Psychology, persona has been shown to be highly correlated to personality, which in turn influences empathy. In addition, our empirical analysis also suggests that persona plays an important role in empathetic conversations. To this end, we propose a new task towards persona-based empathetic conversations and present the first empirical study on the impact of persona on empathetic responding. Specifically, we first present a novel large-scale multi-domain dataset for persona-based empathetic conversations. We then propose CoBERT, an efficient BERT-based response selection model that obtains the state-of-the-art performance on our dataset. Finally, we conduct extensive experiments to investigate the impact of persona on empathetic responding. Notably, our results show that persona improves empathetic responding more when CoBERT is trained on empathetic conversations than non-empathetic ones, establishing an empirical link between persona and empathy in human conversations.
URI: https://hdl.handle.net/10356/150968
DOI: 10.18653/v1/2020.emnlp-main.531
Rights: © 2020 Association for Computational Linguistics (ACL). All rights reserved. This paper was published in 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) and is made available with permission of Association for Computational Linguistics (ACL).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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