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Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction (2025.coling-main)

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Challenge: Existing methods to model event associations struggle with semantic ambiguity and embedding bias.
Approach: They propose a Semantic and Sentiment Dual-enhanced Generative Model to address these issues . it leverages two types of script event information to enhance the generative model .
Outcome: The proposed model captures both global and local sentiments of events through its sentiment awareness mechanism.

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