Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/27900
DC FieldValueLanguage
dc.contributor.authorChiarcos, Christianen_US
dc.contributor.authorSilvano, Purificaçãoen_US
dc.contributor.authorDamova, Marianaen_US
dc.contributor.authorValūnaitė Oleškevičienė, Giedrėen_US
dc.contributor.authorLiebeskind, Chayaen_US
dc.contributor.authorTrajanov, Dimitaren_US
dc.contributor.authorTruica, Ciprian-Octavianen_US
dc.contributor.authorApostol, Elena-Simonaen_US
dc.contributor.authorBączkowska, Annaen_US
dc.date.accessioned2023-09-11T09:54:39Z-
dc.date.available2023-09-11T09:54:39Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/27900-
dc.description.abstractPurpose: Discourse markers are linguistic cues that indicate how an utterance relates to the discourse context and what role it plays in conversation. The authors are preparing an annotated corpus in nine languages, and specifically aim to explore the role of Linguistic Linked Open Data (/LLOD) technologies in the process, i.e., the application of web standards such as RDF and the Web Ontology Language (OWL) for publishing and integrating data. We demonstrate the advantages of this approach.en_US
dc.relation.ispartofLLOD Approaches for Language Data Research and Management, LLODREAM2022: International Scientific Interdisciplinary Conference: abstract book, September 21-22, 2022. Vilnius: Mykolas Romeris university, 2022. ISBN 9786094880414.en_US
dc.titleAn OWL ontology for ISO-based discourse marker annotationen_US
dc.typeJournal Articleen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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