Fusing pairwise modalities for emotion recognition in conversations

• Main Authors: Fan, Chunxiao, Lin, Jie, Mao, Rui, Cambria, Erik
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Multimodal; Feature fusion
• Online Access: https://hdl.handle.net/10356/175811
• Institution: Nanyang Technological University

Multimodal fusion has the potential to significantly enhance model performance in the domain of Emotion Recognition in Conversations (ERC) by efficiently integrating information from diverse modalities. However, existing methods face challenges as they directly integrate information from different m...