Person name discrimination in the dossier-GPLSI at the university of Alicante

Authors:
Isabel Moreno;Rubén Izquierdo;Paloma Moreda
Affiliations:
Natural Language Processing Research Group, University of Alicante, Alicante, Spain;Natural Language Processing Research Group, University of Alicante, Alicante, Spain;Natural Language Processing Research Group, University of Alicante, Alicante, Spain
Venue:
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Year:
2011

Citing 1
Cited 0

UA-ZSA: web page clustering on the basis of name disambiguation

SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations

Quantified Score

Hi-index	0.00

Visualization

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.