Papers by Xiaoheng Zhang
A Cross-Modality Context Fusion and Semantic Refinement Network for Emotion Recognition in Conversation (2023.acl-long)
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| Challenge: | Emotion recognition in conversation studies focus on textual modality, but they lack contextual information and focus on a limited number of modalities. |
| Approach: | They propose a cross-modal context fusion and semantic refinement network to explore multimodal interactions and a graph-based semantic refinements transformer to solve the limitation of insufficient semantic relationship information between utterances. |
| Outcome: | The proposed method is compared with other state-of-the-art methods on two public benchmark datasets and shows its potential for emotion recognition. |