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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11862 |
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| _version_ | 1866915721704898560 |
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| author | Ye, Junhong Yuan, Xu Qiu, Xinying |
| author_facet | Ye, Junhong Yuan, Xu Qiu, Xinying |
| contents | Accurate recognition of personally identifiable information (PII) is central to automated text anonymization. This paper investigates the effectiveness of cross-domain model transfer, multi-domain data fusion, and sample-efficient learning for PII recognition. Using annotated corpora from healthcare (I2B2), legal (TAB), and biography (Wikipedia), we evaluate models across four dimensions: in-domain performance, cross-domain transferability, fusion, and few-shot learning. Results show legal-domain data transfers well to biographical texts, while medical domains resist incoming transfer. Fusion benefits are domain-specific, and high-quality recognition is achievable with only 10% of training data in low-specialization domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11862 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition Ye, Junhong Yuan, Xu Qiu, Xinying Computation and Language Accurate recognition of personally identifiable information (PII) is central to automated text anonymization. This paper investigates the effectiveness of cross-domain model transfer, multi-domain data fusion, and sample-efficient learning for PII recognition. Using annotated corpora from healthcare (I2B2), legal (TAB), and biography (Wikipedia), we evaluate models across four dimensions: in-domain performance, cross-domain transferability, fusion, and few-shot learning. Results show legal-domain data transfers well to biographical texts, while medical domains resist incoming transfer. Fusion benefits are domain-specific, and high-quality recognition is achievable with only 10% of training data in low-specialization domains. |
| title | Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2507.11862 |