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Publication . Other literature type . Conference object . Part of book or chapter of book . 2020

Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project

Lucie Gianola; Ēriks Ajausks; Victoria Arranz; Chomicha Bendahman; Laurent Bié; Claudia Borg; Aleix Cerdà; +22 Authors
Open Access
Published: 09 Dec 2020
Publisher: HAL CCSD

The European MAPA (Multilingual Anonymisation for Public Administrations) project aims at developing an open-source solution for automatic de-identification of medical and legal documents. We introduce here the context, partners and aims of the project, and report on preliminary results. Peer Reviewed "Article signat per 30 autors/es: Lucie Gianola, Ēriks Ajausks, Victoria Arranz, Chomicha Bendahman, Laurent Bié, Claudia Borg, Aleix Cerdà, Khalid Choukri, Montse Cuadros, Ona De Gibert, Hans Degroote, Elena Edelman, Thierry Etchegoyhen, Ángela Franco Torres, Mercedes García Hernandez, Aitor García Pablos, Albert Gatt, Cyril Grouin, Manuel Herranz, Alejandro Adolfo Kohan, Thomas Lavergne, Maite Melero, Patrick Paroubek, Mickaël Rigault, Mike Rosner, Roberts Rozis, Lonneke Van Der Plas, Rinalds Vīksna, Pierre Zweigenbaum"

Subjects by Vocabulary

Microsoft Academic Graph classification: Open source Political science Knowledge management business.industry business Context (language use) Deidentification


[SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, :Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC], General Data Protection Regulation (EU), Internet in public administration, Automatic de-identification, Multingual, Open-source, Legal documents, Dades obertes, anonimitzacio

12 references, page 1 of 2

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[2] Plamondon L, Lapalme G, Pelletier F. Anonymisation de décisions de justice. In: 11e Conférence sur le Traitement Automatique des Langues Naturelles. Fès, Morocco: Bernard Bel et Isabelle Martin (eds); 2004. p. 367-376.

[3] Meystre SM, Friedlin FJ, South BR, Shen S, Samore MH. Automatic de-identification of textual documents in the electronic health record: a review of recent research. BMC Medical Research Methodology. 2010 Aug;10(1):70. Available from: [OpenAIRE]

[4] Grishman R, Sundheim B. Design of the MUC-6 evaluation. In: Proceedings of the 6th conference on Message understanding. Stroudsburg, PA: Association for Computational Linguistics; 1995. p. 1-11. [OpenAIRE]

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[6] Tamper M, Oksanen A, Tuominen J, Hyvönen E, Hietanen A. Anonymization Service for Finnish Case Law: Opening Data without Sacrificing Data Protection and Privacy of Citizens. In: International Conference on Law via the Internet, LVI; 2018. . [OpenAIRE]

[7] Devlin J, Chang M, Lee K, Toutanova K. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR. 2018;abs/1810.04805.

[8] Tjong Kim Sang EF. Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition. In: COLING-02: The 6th Conference on Natural Language Learning; 2002. .

[9] Tjong Kim Sang EF, De Meulder F. Introduction to the CoNLL-2003 Shared Task: LanguageIndependent Named Entity Recognition. In: Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003; 2003. p. 142-147.

[10] Nadeau D, Sekine S. A survey of named entity recognition and classification. Linguisticae Investigationes. Linguisticae Investigationes. 2007;30(1):3-26.

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Other literature type . 2020