| Title | On the declassification of confidential documents |
| Publication Type | Conference Proceedings |
| Year of Conference | 2011 |
| Authors | Abril D [1], Navarro-Arribas G [2], Torra V [3] |
| Editor | [4], Long J [5] |
| Volume | 6820 |
| Publisher | Springer |
| Pagination | 235-246 |
| Conference Location | Changsha, China |
| Date Published | 28/07/2011 |
| Keywords | anonymity [6], Data Privacy [7], declassification [8], Information Retrieval [9], named-entity recognition [10], pattern classification [11], privacy preserving information retrieval [12], semantic [13] |
| Abstract | 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. |
| URL | http://www.springerlink.com/content/tg81j807q42x8837/ [14] |
