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Abstract: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.
* Proceedings of the 8th International Conference on the Statistical
Analysis of Textual Data (JADT-2006). Besancon, 19-21 April 2006 * 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