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一种改进的数据增强方法及其在医疗命名实体识别中的应用

Hongyu Chen1, Li Dan1, Yonghe Lu2

  • 1School of Information Management, Sun Yat-Sen University, Guangzhou, 510006, China.

BMC medical informatics and decision making
|August 5, 2024
PubMed
概括

数据增强通过创建更多的培训数据来增强医疗命名实体识别 (NER). 新的方法,上下文随机替换 (CRR) 和目标实体随机替换 (TER),提高了准确性,特别是在有限的医疗数据.

关键词:
数据增强数据增强深度学习是一种深度学习.医疗名称实体认可 医疗名称实体认可替代增强增强是一种替代增强.文本的特征 字体的特征

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