Abstract
The European project NewsReader develops technology to process daily news streams in 4 languages, extracting what happened, when, where and who was involved. NewsReader does not just read a single newspaper but massive amounts of news coming from thousands of sources. It compares the results across sources to complement information and determine where they disagree. Furthermore, it merges news of today with previous news, creating a long-term history rather than separate events. The result is stored in a KnowledgeStore, that cumulates information over time, producing an extremely large knowledge graph that is visualized using new techniques to provide more comprehensive access. We present the first version of the system and the results of processing first batches of data.
Original language | English |
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Title of host publication | Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 |
Editors | Nicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson |
Publisher | European Language Resources Association (ELRA) |
Pages | 2000-2007 |
Number of pages | 8 |
ISBN (Electronic) | 9782951740884 |
Publication status | Published - 1 Jan 2014 |
Event | 9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland Duration: 26 May 2014 → 31 May 2014 |
Publication series
Name | Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 |
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Conference
Conference | 9th International Conference on Language Resources and Evaluation, LREC 2014 |
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Country/Territory | Iceland |
City | Reykjavik |
Period | 26/05/14 → 31/05/14 |
Funding
1NewsReader is funded by the European Union as project ICT-316404. It is a collaboration of 3 European research groups and 3 companies: LexisNexis, ScraperWiki and Synerscope. The project started on January 2013 and will last 3 years. For more information see: www.newsreader-project.eu/ This work has been supported by the EC within the 7th framework programme under grant agreement nr. FP7-IST-316040.
Keywords
- Cross-lingual event extraction
- Long-term histories
- News streams