Semantic Relation’s Weight Determination on a Graph Based WordNet

dc.contributor.authorTülü, Çağatay
dc.contributor.authorOrhan, Umut
dc.contributor.authorTuran, Erhan
dc.date.accessioned2025-01-06T17:22:39Z
dc.date.available2025-01-06T17:22:39Z
dc.date.issued2018
dc.departmentAdana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi
dc.description.abstractDetermination of semantic relatedness between two textual items is one of the crucial phases in many Natural LanguageProcessing applications. In this study, a new approach to lexicon based semantic relation determination methods wasexperienced using WordNet 3.0 and Men’s real-life similarity dataset. Men’s test collection was used for thedetermination of the relation weights and determined weights were used in semantic relatedness computation. RG65similarity dataset was used for a benchmark of the proposed method and Spearman correlation 0.81 was gained, takinginto account that retrieving the relations weight using a large scale dataset and testing them with another real-life datasetpromises new perspectives to the determination of the relations weight and to the relatedness computation.
dc.identifier.doi10.17714/gumusfenbil.432582
dc.identifier.endpage78
dc.identifier.issn2146-538X
dc.identifier.issueÖZEL SAYI
dc.identifier.startpage67
dc.identifier.trdizinid394308
dc.identifier.urihttps://doi.org/10.17714/gumusfenbil.432582
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/394308
dc.identifier.urihttps://hdl.handle.net/20.500.14669/442
dc.identifier.volume8
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofGümüşhane Üniversitesi Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectDil ve Dil Bilim
dc.titleSemantic Relation’s Weight Determination on a Graph Based WordNet
dc.typeArticle

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