Assessment of text coherence using an ontology-based relatedness measurement method
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wiley
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper proposes a novel method for assessing text coherence. Central to this approach is an ontology-based representation of text, which captures the level of relatedness between consecutive sentences via ontologies. Our method encompasses annotating text using ontological concepts and assessing text coherence based on relatedness measurement among these concepts. the ontology-based relatedness measurement method used in this study considers various types of relationships in ontologies and derived relationships via an inference engine for computing relatedness. We hypothesized that rich variety of relationships and inferred facts in ontologies would improve the success of text coherence assessment. Our results demonstrate that the use of ontologies yields to coherence values that have a higher correlation with human ratings.
Açıklama
Anahtar Kelimeler
coherence, ontology, relatedness, semantic annotation, similarity, text comprehension
Kaynak
Expert Systems
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
37
Sayı
3
