12 citations · 29 across the 9 of their papers we have counts for
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cs.CL2022★ 1 cited
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition
Yang Wu, Pai Peng, Zhenyu Zhang +2
Recent works on multi-modal emotion recognition move towards end-to-end models, which can extract the task-specific features supervised by the target task compared with the two-pha…
cs.CL2022★ 3 cited
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations
Hao Yang, Yanyan Zhao, Jianwei Liu +2
Multimodal fine-grained sentiment analysis has recently attracted increasing attention due to its broad applications. However, the existing multimodal fine-grained sentiment datase…
cs.CL2022
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors
Yang Wu, Yanyan Zhao, Hao Yang +4
Multimodal sentiment analysis has attracted increasing attention and lots of models have been proposed. However, the performance of the state-of-the-art models decreases sharply wh…