KnowDT: Empathetic dialogue generation with knowledge enhanced dependency tree
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05611-x.pdf
Reference51 articles.
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2. Adikari A, De Silva D, Moraliyage H et al (2022) Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare. Future Gener Comput Syst 126:318–329
3. Rathnayaka P, Mills N, Burnett D et al (2022) A mental health chatbot with cognitive skills for personalised behavioural activation and remote health monitoring. Sensors 22(10):3653. https://doi.org/10.3390/s22103653. https://www.mdpi.com/1424-8220/22/10/3653
4. Liu S, Zheng C, Demasi O et al (2021) Towards emotional support dialog systems. In: Zong C, Xia F, Li W, et al (eds) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, pp 3469–3483. https://doi.org/10.18653/v1/2021.acl-long.269. https://aclanthology.org/2021.acl-long.269
5. Lin Z, Madotto A, Shin J, et al (2019) MoEL: Mixture of empathetic listeners. In: Inui K, Jiang J, Ng V, et al (eds) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China, pp 121–132. https://doi.org/10.18653/v1/D19-1012. https://aclanthology.org/D19-1012
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