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Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss
In document-level event argument extraction, an argument is likely to appear multiple times in different expressions in the document.
Heuristic-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction
In this study, we investigate in-context learning (ICL) in document-level event argument extraction (EAE) to alleviate the dependency on large-scale labeled data for this task.
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