Papers by RuiQiang Guo

1 papers
Using Review Combination and Pseudo-Tokens for Aspect Sentiment Quad Prediction (2025.findings-naacl)

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Challenge: Existing models confuse implicit and explicit sentiment, making it difficult to extract quadruples effectively.
Approach: They propose a framework that leverages distinct labeled features from diverse reviews and incorporates pseudo-token prompts to harness the semantic knowledge of pre-trained models.
Outcome: The proposed framework improves over four public datasets, averaging 1.99% F1 improvement, particularly in instances involving implicit sentiment.

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