Papers by Chenwei Lou

1 papers
Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network (2022.acl-long)

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Challenge: Existing studies on multimodal sarcasm detection using textual and visual information have been limited to text-only approaches.
Approach: They propose to construct a cross-modal graph for each multi-modal instance to explicitly draw the ironic relations between textual and visual modalities.
Outcome: The proposed model achieves state-of-the-art in multi-modal sarcasm detection.

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