Papers with Multimodal Conversational Emotion

1 papers
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection (2024.lrec-main)

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Challenge: Existing studies focus on learning contextual information in conversations, neglecting acoustic and vision topic information.
Approach: They propose a model-agnostic Topic-enriched Diffusion approach for capturing multimodal topic information in MCE tasks.
Outcome: The proposed approach improves over the state-of-the-art MCE models and the existing models.

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