Papers with opinion tree generation

1 papers
Transition-based Opinion Generation for Aspect-based Sentiment Analysis (2024.findings-acl)

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Challenge: Existing approaches to aspect-based sentiment analysis often overlook the importance of explicitly modeling structure among sentiment elements.
Approach: They propose to integrate general pre-trained sequence-to-sequence language models with a structure-aware transition-based approach to model sentiment structure.
Outcome: The proposed model improves the state-of-the-art performance on several benchmark datasets.

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