On the declassification of confidential documents

Authors:
Daniel Abril;Guillermo Navarro-Arribas;Vicenç Torra
Affiliations:
Institut d'Investigació en Intelligència Artificial, Consejo Superior de Investigaciones Científicas;Dep. Enginyeria de la Informació i de les Comunicacions, Universitat Autònoma de Barcelona;Institut d'Investigació en Intelligència Artificial, Consejo Superior de Investigaciones Científicas
Venue:
MDAI'11 Proceedings of the 8th international conference on Modeling decisions for artificial intelligence
Year:
2011

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Abstract

We introduce the anonymization of unstructured documents to settle the base of automatic declassification of confidential documents. Departing from known ideas and methods of data privacy, we introduce the main issues of unstructured document anonymization and propose the use of named entity recognition techniques from natural language processing and information extraction to identify the entities of the document that need to be protected.