Identifying Personal Identifiable Information (PII) in Unstructured Text: A Comparative Study on Transformers

Author:

Shahriar Md Hasan,Kayem Anne V. D. M.ORCID,Reich David,Meinel Christoph

Publisher

Springer Nature Switzerland

Reference27 articles.

1. Clark, K., et al.: ELECTRA: pre-training text encoders as discriminators rather than generators (2020). arXiv:2003.10555

2. Cohen, W.: Enron email dataset (2015). https://www.cs.cmu.edu/~enron. Accessed 18 May 2024

3. Conneau, A., et al.: Unsupervised cross-lingual representation learning at scale. CoRR, abs/1911.02116 (2019). arXiv:1911.02116

4. Gillette, J.B., et al.: Data protections for minors with named entity recognition (2022). https://doi.org/10.1109/BigData55660.2022.10021086

5. Hathurusinghe, R.: Building a personally identifiable information recognizer in a privacy preserved manner using automated annotation and federated learning (2020). https://doi.org/10.20381/ruor-25235

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