Enhancing text anonymization via re-identification risk-based explainability

B Manzanares-Salor, D Sánchez - Knowledge-Based Systems, 2025 - Elsevier
Text anonymization is a challenging task usually carried out by human annotators, thereby
incurring significant economic and temporal costs. Even though automated approaches …

[HTML][HTML] Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models' feasibility in clinical decision …

E Sblendorio, V Dentamaro, AL Cascio… - International Journal of …, 2024 - Elsevier
Abstract Background Recent enhancements in Large Language Models (LLMs) such as
ChatGPT have exponentially increased user adoption. These models are accessible on …

Automatic Anonymization of Swiss Federal Supreme Court Rulings

J Niklaus, R Mamié, M Stürmer, D Brunner… - arXiv preprint arXiv …, 2023 - arxiv.org
Releasing court decisions to the public relies on proper anonymization to protect all involved
parties, where necessary. The Swiss Federal Supreme Court relies on an existing system …