Papers by Tianshu Fu

1 papers
Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction (2025.coling-main)

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Challenge: Event Argument Extraction is a critical subtask of Event Extraction, focused on identifying event arguments within text.
Approach: They propose a Fusion Selection-Generation-Based Approach that merges selective and generative methods to enhance argument extraction accuracy.
Outcome: The proposed method improves on the RAMS and WikiEvents, while preserving the unique characteristics of both methods.

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