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dc.contributor.authorAl-Moslmi, Tareq
dc.contributor.authorGallofré Ocaña, Marc
dc.date.accessioned2021-05-07T09:39:30Z
dc.date.available2021-05-07T09:39:30Z
dc.date.created2020-12-16T12:48:16Z
dc.date.issued2020
dc.identifier.issn1613-0073
dc.identifier.urihttps://hdl.handle.net/11250/2754118
dc.description.abstractA massive amount of news is being shared online by individuals and news agencies, making it difficult to take advantage of these news and analyse them in traditional ways. In view of this, there is an urgent need to use recent technologies to analyse all news relevant information that is being shared in natural language and convert it into forms that can be more easily and precisely processed by computers. Knowledge Graphs (KGs) offer offer a good solution for such processing. Natural Language Processing (NLP) offers the possibility for mining and lifting natural language texts to knowledge graphs allowing to exploit its semantic capabilities, facilitating new possibilities for news analysis and understanding. However, the current available techniques are still away from perfect. Many approaches and frameworks have been proposed to track and analyse news in the last few years. The shortcomings of those systems are that they are static and not updateable, are not designed for largescale data volumes, did not support real-time processing, dealt with limited data resources, used traditional lifting pipelines and supported limited tasks, or have neglected the use of knowledge graphs to represent news into a computer-processable form. Therefore, there is a need to better support lifting natural language into a KG. With the continuous development of NLP techniques, the design of new dynamic NLP lifters that can cope with all the previous shortcomings is required. This paper introduces a general NLP lifting architecture for automatically lifting and processing news reports in real-time based on the recent development of the NLP methods.en_US
dc.language.isoengen_US
dc.publisherCEUR-WSen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleLifting news into a journalistic knowledge platformen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 The Authorsen_US
dc.source.articlenumber42en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1860530
dc.source.journalCEUR Workshop Proceedingsen_US
dc.identifier.citationProceedings of the CIKM 2020 Workshops, 2699, 42en_US
dc.source.volume2699en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal