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WordNet and wikipedia connection in Turkish WordNet KeNet

dc.contributor.authorDoğan, M.
dc.contributor.authorOksal, C.
dc.contributor.authorYenice, A. B.
dc.contributor.authorBeyhan, F.
dc.contributor.authorYeniterzi, R.
dc.contributor.authorYıldız, Olcay Taner
dc.date.accessioned2023-08-07T06:14:36Z
dc.date.available2023-08-07T06:14:36Z
dc.date.issued2022
dc.identifier.isbn979-109554692-4
dc.identifier.urihttp://hdl.handle.net/10679/8571
dc.identifier.urihttp://www.lrec-conf.org/proceedings/lrec2022/workshops/GWLL/pdf/2022.gwll-1.12.pdf
dc.description.abstractThis paper aims to present WordNet and Wikipedia connection by linking synsets from Turkish WordNet KeNet with Wikipedia and thus, provide a better machine-readable dictionary to create an NLP model with rich data. For this purpose, manual mapping between two resources is realized and 11,478 synsets are linked to Wikipedia. In addition to this, automatic linking approaches are utilized to analyze possible connection suggestions. Baseline Approach and ElasticSearch Based Approach help identify the potential human annotation errors and analyze the effectiveness of these approaches in linking. Adopting both manual and automatic mapping provides us with an encompassing resource of WordNet and Wikipedia connections.en_US
dc.language.isoengen_US
dc.publisherEuropean Language Resources Association (ELRA)en_US
dc.relation.ispartofProceedings of the Language Resources and Evaluation Conference, LREC 2022 Workshop - Globalex Workshop on Linked Lexicography, GWLL 2022
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titleWordNet and wikipedia connection in Turkish WordNet KeNeten_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-5838-4615 & YÖK ID 19848) Yıldız, Olcay Taner
dc.contributor.ozuauthorYıldız, Olcay Taner
dc.identifier.startpage85en_US
dc.identifier.endpage89en_US
dc.subject.keywordsTurkishen_US
dc.subject.keywordsWikipediaen_US
dc.subject.keywordsWordNeten_US
dc.identifier.scopusSCOPUS:2-s2.0-85145880299
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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