Semantic Relation’s Weight Determination on a Graph Based WordNet
[ X ]
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Determination 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.
Açıklama
Anahtar Kelimeler
Bilgisayar Bilimleri, Yazılım Mühendisliği, Dil ve Dil Bilim
Kaynak
Gümüşhane Üniversitesi Fen Bilimleri Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
ÖZEL SAYI
