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The task of multi-modal emotion recognition in conversation (MERC) aims to analyze the genuine emotional state of each utterance based on the multi-modal information in the conversation, which is crucial for conversation understanding.
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doi:10.1109/TMM.2020.3037496
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T. Meng, Y. Shou, W. Ai, J. Du, H. Liu, K. Li, A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition, Neurocomputing 569 (2024) 127109
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W. Ai, Y. Shou, T. Meng, K. Li, Der-gcn: Dialog and event relation-aware graph convolutional neural network for multimodal dialog emotion recognition, IEEE Transactions on Neural Networks and Learning Systems (2024)
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Z. Yang, X. Li, Y. Cheng, T. Zhang, X. Wang, Emotion recognition in conversation based on a dynamic complementary graph convolutional network, IEEE Transactions on Affective Computing (2024)
2024
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