Navigating multilingual news collections using automatically extracted information

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dc.creatorSteinberger, Ralf
dc.creatorPouliquen, Bruno
dc.creatorIgnat, Camelia
dc.date2006-09-11
dc.date.accessioned2026-07-07T07:23:50Z
dc.date.available2026-07-07T07:23:50Z
dc.descriptionWe are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that is of relevance to them. For a given document collection, the tool set automatically clusters the texts into groups of similar articles, extracts names of places, people and organisations, lists the user-defined specialist terms found, links clusters and entities, and generates hyperlinks. Through its daily news analysis operating on thousands of articles per day, the tool also learns relationships between people and other entities. The fully functional prototype system allows users to explore and navigate multilingual document collections across languages and time.
dc.descriptionThis paper describes the main functionality of the JRC's fully-automatic news analysis system NewsExplorer, which is freely accessible in currently thirteen languages at http://press.jrc.it/NewsExplorer/ . 8 pages
dc.identifierhttps://arxiv.org/abs/cs/0609053
dc.identifierhttp://arxiv.org/abs/cs/0609053
dc.identifierProceedings of the 27th International Conference 'Information Technology Interfaces' (ITI'2005). Cavtat / Dubrovnik
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116131
dc.subjectComputation and Language
dc.subjectInformation Retrieval
dc.subjectH.3.1; H.3.3; H.3.4; H.3.5
dc.titleNavigating multilingual news collections using automatically extracted information
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