Papers with multimodal feature fusion technique

1 papers
COMMA-DEER: COmmon-sense Aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations (2022.coling-1)

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Challenge: Mental health is a critical component of the United Nations’ Sustainable Development Goals (SDGs), particularly Goal 3 which aims to provide “good health and well-being”.
Approach: They propose a task of detecting emotional reasoning and accompanying emotions in conversations that is manually annotated at the utterance level.
Outcome: The proposed model achieves 6% accuracy and 4.62% accuracy on the emotion detection task and 3.56% accuracy, and 3.31% F1 on the ER detection task, compared to the existing state-of-the-art model.

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