Papers with Multiple Knowledge Enhanced Interactive Graph Network

1 papers
Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition (2024.findings-emnlp)

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Challenge: Multimodal Emotion Recognition in Conversations models struggle due to lack of Common Sense Knowledge (CSK).
Approach: They propose a multimodal approach to integrate multiple knowledge into the edge representations by integrating textual and visual CSK.
Outcome: The proposed model outperforms state-of-the-art methods on two popular datasets.

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