Title: Building and Displaying Name Relations using Automatic Unsupervised Analysis of Newspaper Articles
Authors: POULIQUEN BRUNOSTEINBERGER RALFIGNAT CAMELIAOELLINGER Tamara
Citation: Proceedings of the 8th International Conference on the Statistical Analysis of Textual Data p. 794-804
Publication Year: 2006
JRC N°: JRC32545
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC32545
Type: Contributions to Conferences
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.
JRC Institute:Institute for the Protection and Security of the Citizen

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