Papers by Dingyi Zeng

2 papers
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance (2023.findings-acl)

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Challenge: Document-level event argument extraction is a challenging task for cross-sentence inference . previous work focused on document-level EAE, but recent work focused more on documentlevel .
Approach: They propose a document-level event argument extraction model that captures contextual clues and latent role information.
Outcome: The proposed model outperforms existing methods on two public datasets with 1.13 F1 and 2.64 F1 improvements on RAMS and WikiEvents respectively.
A Compressive Memory-based Retrieval Approach for Event Argument Extraction (2025.coling-main)

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Challenge: Existing retrieval-based EAE methods have input length constraints and the gap between the retriever and the inference model.
Approach: They propose a retrieval-based retrieval mechanism that overcomes input length constraints . they use compressive memory to cache retrieved information and support continuous updates .
Outcome: The proposed method outperforms retrieval-based methods on three public datasets.

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