Building and displaying name relations using automatic unsupervised analysis of newspaper articles

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We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity Recognition tool, applied on clusters of an average of 15,000 news articles per day, in 15 different languages, we build a knowledge base that allows extracting statistical co-occurrences of persons and visualising them on a per-person page or in various graphs.
Builds upon the recognition of person names described in paper cs.CL/0609051. Resulting person relations can be explored in the multilingual online application NewsExplorer at http://press.jrc.it/NewsExplorer . 12 pages

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Computation and Language, Information Retrieval, H.3.1; H.3.3; H.3.4

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http://salesiana.dossiersoluciones.com/handle/123456789/116141

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0609066
 http://arxiv.org/abs/cs/0609066
 Proceedings of the 8th International Conference on the Statistical Analysis of Textual Data (JADT-2006). Besancon, 19-21 April 2006

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arXiv