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Continual relation extraction model based on memory sample selection and historical feature refinement

delete2025-12-20
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PRE
AI
Z
Zhanjun Zhang
Q
Qian Wan
S
Shan Zhao
M
Mingrui Hao
S
Sijing Chen
魏罗娜 cover
魏罗娜 (Luona Wei) *
DOI:10.1016/j.asoc.2025.114485delete
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Abstract

Abstract

En 中文
• Memory samples and historical features are used to enhance the CRE model (CREMH). • A refinement and integration representation method is proposed for historical features. • CREMH alleviates catastrophic forgetting by enhancing the mass density of memory samples. • CREMH outperforms baselines in both overall and single-type scores on two datasets.

Journal

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

Organization

S
South-Central Minzu University
Scholars:
841
Papers: 241
Citations: 0
C
Central China Normal University
Scholars:
1.1W
Papers: 8.1K
Citations: 1.1W
H
Hefei University of Technology
Scholars:
5.6K
Papers: 1.8K
Citations: 2.1W
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