Akıllı sistemler ve uygulamaları dergisi
Comparison of Templates with Word2vec in Finding Semantic Relations Between Words
(1)
Bilgisayar Mühendisliği Bölümü Elektrik-Elektronik Fakültesi Yıldız Teknik Üniversitesi, İSTANBUL
(2)
Bilgisayar Mühendisliği Bölümü Elektrik-Elektronik Fakültesi Yıldız Teknik Üniversitesi, İSTANBUL
(3)
3Bilgisayar Mühendisliği Bölümü Elektrik-Elektronik Fakültesi Yıldız Teknik Üniversitesi, İSTANBUL
Abstract
The use of databases those containing semantic relationships between words is becoming increasingly widespread in order to make natural language processing work more effective. Instead of the word-bag approach, the suggested semantic spaces give the distances between words, but they do not express the relation types. In this study, it is shown how semantic spaces can be used to find the type of relationship and it is compared with the template method. According to the results obtained on a very large scale, while is_a and opposite are more successful for semantic spaces for relations, the approach of templates is more successful in the relation types at_location, made_of and non relational.