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Large language model augmented joint learning framework for entity-relation extraction

delete2025-10-23
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PRE
AI
H
Haochen Zou
Y
Yongli Wang *
A
Anqi Huang
DOI：10.1016/j.asoc.2025.114094delete
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Abstract

Abstract

En 中文
• A joint learning framework enhanced by the powerful large language model. • The modules of the framework jointly analyze subject-relation-object triplets. • The entity-relation amendment module filters redundant and invalid triplets. • Adversarial training enhances the robustness and generalization. • A comparative analysis of performance with baseline methods is conducted.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

No organization information available