Papers by DingYi Zeng

1 papers
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction (2024.findings-acl)

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Challenge: mainstream event argument extraction methods process each event in isolation, resulting in inefficient inference and ignoring correlations among multiple events.
Approach: They propose a multi-event argument argument extraction model which extracts arguments from all events simultaneously.
Outcome: The proposed model performs better on four public datasets while saving time.

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