Papers by Feiran Sun

1 papers
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis (2023.findings-acl)

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Challenge: Existing methods for multimodal sentiment analysis focus on general knowledge, which is inadequate to identify specific sentiments across modalities.
Approach: They propose a method where specific-knowledge representations for each modality can be learned together with general knowledge representations via knowledge injection based on an adapter architecture.
Outcome: The proposed method outperforms all prior methods on three popular benchmarks on multimodal sentiment analysis metrics.

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