We present a novel benchmark and associated evaluation metrics for assessing the
performance of text anonymization methods. Text anonymization, defined as the task of …

It is acknowledged that conducting open research requires additional time and effort
compared to conducting 'closed'research. However, this additional work is often discussed …

In the European Union, Data Controllers and Data Processors, who work with personal data,
have to comply with the General Data Protection Regulation and other applicable laws. This …

Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained
language models (PLMs). These models consist of large amounts of parameters that are …

Purpose This study aims to report on an automatic deidentification system for labeling and
obfuscating personally identifiable information (PII) in student-generated text …

The purpose of text sanitization is to edit text documents to mask text spans that may directly
or indirectly reveal personal information. An important problem in text sanitization is to find …

We present a novel approach for text sanitization, which is the task of editing a document to
mask all (direct and indirect) personal identifiers and thereby conceal the identity of the …

As the artificial intelligence (AI) ethics field is currently working towards its
operationalisation, ethics review as carried out by research ethics committees (RECs) …

TREs are widely, and increasingly used to support statistical analysis of sensitive data
across a range of sectors (eg, health, police, tax and education) as they enable secure and …

Intelligent gaming as an educational tool is becoming increasingly popular thanks to its
ability to provide a fun and engaging way for students to learn. These games often …