Enhancing entity and relation extraction with dynamic hard negative augmentation framework

doi:10.1016/j.engappai.2025.112211

2025-09-10

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DOI：10.1016/j.engappai.2025.112211

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摘要

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• 目标挖掘策略增强了模型的敏感性和性能。 • 动态调整比例以聚焦于困难样本的学习。 • 首个定制化方法提高了实体和关系提取的准确性。

期刊

Engineering Applications of Artificial Intelligence

IF:

论文数:

5.7K

被引数:

3.5W

机构

quan cheng laboratory

学者数:

论文数: 14

被引数: 0

Dalian University of Technology

学者数:

6.0W

论文数: 4.4W

被引数: 5.5W

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