3 citations · 4 across the 5 of their papers we have counts for
5 papers
FindMyText: Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora
Lars Henry Berge Olsen, Pierre Lison, Martin Jullum +1
We present FindMyText, an open-source Python package designed to efficiently assess whether a given text appears, in part or in full, within a text corpus. The tool builds on prior…
Protecting De-identified Documents from Search-based Linkage Attacks
Pierre Lison, Mark Anderson
While de-identification models can help conceal the identity of the individuals mentioned in a document, they fail to address linkage risks, defined as the potential to map the de-…
Truthful Text Sanitization Guided by Inference Attacks
Ildikó Pilán, Benet Manzanares-Salor, David Sánchez +1
Text sanitization aims to rewrite parts of a document to prevent disclosure of personal information. The central challenge of text sanitization is to strike a balance between priva…
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis
Anthi Papadopoulou, Pierre Lison, Mark Anderson +2
Text sanitization is the task of redacting a document to mask all occurrences of (direct or indirect) personal identifiers, with the goal of concealing the identity of the individu…
Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis
Ildikó Pilán, Laurent Prévot, Hendrik Buschmeier +1
Scripted dialogues such as movie and TV subtitles constitute a widespread source of training data for conversational NLP models. However, there are notable linguistic differences b…