Abstract
We present the Dossier-GPLSI, a system for the automatic generation of press dossiers for organizations. News are downloaded from online newspapers and are automatically classified. We describe specifically a module for the discrimination of person names. Three different approaches are analyzed and evaluated, each one using different kind of information, as semantic information, domain information and statistical evidence. We demonstrate that this module reaches a very good performance, and can be integrated in the Dossier-GPLSI system. © 2011 Springer-Verlag.
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Moreno, I., Izquierdo, R., & Moreda, P. (2011). Person name discrimination in the Dossier-GPLSI at the University of Alicante. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6716 LNCS, pp. 305–308). https://doi.org/10.1007/978-3-642-22327-3_44
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