Seek&Hide

Anonymising a French SMS corpus using natural language processing techniques

Pierre Accorsi | Université Montpellier 2, LIRMM, CNRS

Namrata Patel | Objet Direct — VISEO

Cédric Lopez | Praxiling UMR 5267 CNRS & Université Paul-Valéry Montpellier 3

Rachel Panckhurst

Mathieu Roche

This article presents the system Seek&Hide, a text message processing tool developed for the sud4science LR (http://www.sud4science.org/) project. It performs the anonymisation/de-identification of a corpus. At present, it has been used to anonymise the sud4science LR corpus of French text messages collected during the project. This is done in two phases. In the first phase, it automatically processes over 70% of the corpus. The rest of the corpus is processed in the second phase, aided by an expert annotator via a web interface specifically designed to simplify the task.

Published online: 12 April 2013
https://doi.org/10.1075/li.35.2.03acc

Cited by

Cited by 3 other publications

Efraim, Octavia, Vladislav Maraev & João Rodrigues

2018. In Artificial Intelligence and Natural Language [Communications in Computer and Information Science, 789], ► pp. 27 ff.

Panckhurst, Rachel

2013. A Large SMS Corpus in French: From Design and Collation to Anonymisation, Transcoding and Analysis. Procedia - Social and Behavioral Sciences 95 ► pp. 96 ff.

Patel, Namrata, Pierre Accorsi, Diana Inkpen, Cédric Lopez & Mathieu Roche

2013. In Computational Linguistics and Intelligent Text Processing [Lecture Notes in Computer Science, 7816], ► pp. 77 ff.

This list is based on CrossRef data as of 05 april 2022. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.