Pierre Lison — accepted AI-conference papers

2025

Re-identification of De-identified Documents with Autoregressive Infilling

Lucas Georges Gabriel Charpentier, Pierre Lison

ACL 2025long

Documents revealing sensitive information about individuals must typically be de-identified. This de-identification is often done by masking all mentions of personally identifiable information (PII), thereby making it more difficult to uncover the identity of the person(s) in question. To investigat…

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2021

Anonymisation Models for Text Data: State of the art, Challenges and Future Directions

Pierre Lison, Ildikó Pilán, David Sanchez, Montserrat Batet, Lilja Øvrelid

ACL 2021long

This position paper investigates the problem of automated text anonymisation, which is a prerequisite for secure sharing of documents containing sensitive information about individuals. We summarise the key concepts behind text anonymisation and provide a review of current approaches. Anonymisation…

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