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Multimodal Temporal Modeling for Continuous Group Emotion Recognition in Multi-party Dialogues
To realize natural behavior in dialogue agents in multi-party dialogue scenarios, it is important to understand group emotion such as valence and arousal as a whole. Most prior work addressed this task at the utterance level or using a coarse-grained time window, which is not sufficient to capture e
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