English(EN) Meddies-PII: A Multilingual Framework for Personally Identifiable Information Extraction in Clinical De-identification

新的Meddies-PII框架增强了多语言临床去标识化能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-14 04:00

研究人员开发了Meddies-PII，一个用于从临床文档中提取个人身份信息（PII）的多语言框架。该框架包含一个由一百万份十七种语言的临床文档组成的大型合成数据集，该数据集通过属性条件提示生成，并通过一致性检查进行验证。相关的Meddies-PII-Model，一个BIOES令牌分类器，在PII提取基准测试中表现出色，平均F1得分为0.827，显著优于最强的基线0.658。该数据集、模型和相关代码将公开发布，以促进多语言临床去标识化领域的研究。 AI

影响提高了跨多种语言识别敏感临床数据的准确性和效率。

排序理由该集群描述了一篇关于特定NLP任务的框架、数据集和模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Linh Uyen Le, Christian Hoang, Huy Hoang Ha · 2026-09-14 04:00

Meddies-PII：临床去标识化中个人身份信息提取的多语言框架

arXiv:2609.12544v1 Announce Type: new Abstract: Clinical de-identification relies on accurately identifying personally identifiable information (PII). However, manually annotated datasets are costly to construct, while existing synthetic alternatives often provide limited details…

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Meddies-PII：临床去标识化中个人身份信息提取的多语言框架

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