CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-30675-4_44
Reference28 articles.
1. Chen, M.Y., Li, S., Yang, Y.: EmpHi: generating Empathetic Responses with Human-like Intents. In: NAACL-HLT 2022, pp. 1063–1074 (2022)
2. Elliott, R., Bohart, A.C., Watson, J.C., Murphy, D.: Therapist empathy and client outcome: An updated meta-analysis. Psychotherapy 55(4), 399–410 (2018)
3. Gao, J., et al.: Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations. In: EMNLP 2021, pp. 807–819 (2021)
4. Gao, P., Han, D., Zhou, R., Zhang, X., Wang, Z.: CAB: empathetic dialogue generation with cognition, affection and behavior. arXiv preprint arXiv:2302.01935 (2023)
5. Ghosal, D., Majumder, N., Poria, S., Chhaya, N., Gelbukh, A.F.: DialogueGCN: a graph convolutional neural network for emotion recognition. In: EMNLP-IJCNLP, pp. 154–164 (2019)
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2. DGNN: Dependency Graph Neural Network for Multimodal Emotion Recognition in Conversation;Communications in Computer and Information Science;2023-11-26
3. Empathetic Dialogue Generation with Contrastive Learning and Multi-Source Information Fusion;2023 IEEE 14th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP);2023-11-24
4. CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior;Database Systems for Advanced Applications;2023
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