A dual-branch graph model with modality disentanglement and speaker-aware hypergraphs outperforms baselines on IEMOCAP and MELD for multimodal conversational emotion recognition.
In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp
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Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition
A dual-branch graph model with modality disentanglement and speaker-aware hypergraphs outperforms baselines on IEMOCAP and MELD for multimodal conversational emotion recognition.