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Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou
EMNLP, 2022   (Findings)
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For Empathetic Dialogue Generation task, emotions change dynamically between utterances, which makes previous works difficult to perceive the emotion flow and predict the correct emotion of the target response, leading to inappropriate response. In this work, we improved not only the ability to recognize contextual emotions, but also the ability to filter out unreasonable external knowledge, allowing the model to generate more sensible empathetic responses.
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