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

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dc.creatorPouliquen, Bruno
dc.creatorSteinberger, Ralf
dc.creatorIgnat, Camelia
dc.creatorOellinger, Tamara
dc.date2006-09-12
dc.date.accessioned2026-07-07T07:23:52Z
dc.date.available2026-07-07T07:23:52Z
dc.descriptionWe 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.
dc.descriptionBuilds 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
dc.identifierhttps://arxiv.org/abs/cs/0609066
dc.identifierhttp://arxiv.org/abs/cs/0609066
dc.identifierProceedings of the 8th International Conference on the Statistical Analysis of Textual Data (JADT-2006). Besancon, 19-21 April 2006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116141
dc.subjectComputation and Language
dc.subjectInformation Retrieval
dc.subjectH.3.1; H.3.3; H.3.4
dc.titleBuilding and displaying name relations using automatic unsupervised analysis of newspaper articles
dc.typetext

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