Comparing sense categorization between English propbank and english wordnet
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Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Oficyna Wydawnicza Politechniki Wroclawskiej
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Given the fact that verbs play a crucial role in language comprehension, this paper presents a study which compares the verb senses in English PropBank with the ones in English WordNet through manual tagging. After analyzing 1554 senses in 1453 distinct verbs, we have found out that while the majority of the senses in PropBank have their one-to-one correspondents in WordNet, a substantial amount of them are differentiated. Furthermore, by analysing the differences between our manually-tagged and an automatically-tagged resource, we claim that manual tagging can help provide better results in sense annotation.
Açıklama
Anahtar Kelimeler
Language comprehensions, Ontology, Wordnet
Kaynak
Proceedings of the 10th Global WordNet Conference
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Bakay, Ö., Avar, B. & Yıldız, O.T. (2020). Comparing sense categorization between English propbank and english wordnet. Paper presented at the Proceedings of the 10th Global WordNet Conference, 307-314.
