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Found 4 papers, 2 papers with code
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
Emotion recognition in conversation (ERC) is a crucial task in natural language processing and affective computing.
Emotion Recognition in Conversation
Multimodal Emotion Recognition
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
Emotion recognition is a crucial task for human conversation understanding.
Ranked #1 on
Multimodal Emotion Recognition
on IEMOCAP
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
Multimodal representation learning poses significant challenges in capturing informative and distinct features from multiple modalities.
Vietnamese multi-document summary using subgraph selection approach -- VLSP 2022 AbMuSu Shared Task
Document summarization is a task to generate afluent, condensed summary for a document, andkeep important information.
