Papers with collapsed multi-modal approaches

1 papers
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection (2021.emnlp-main)

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Challenge: Existing studies on aspect-level sentiment analysis focus on extracting aspect terms and sentiment polarities separately.
Approach: They propose a multi-modal joint learning approach with auxiliary cross-modal relation detection for multi-dimensional aspect-level sentiment analysis.
Outcome: The proposed approach can obtain all aspect-level sentiment polarities dependent on the jointly extracted specific aspects.

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