Abstract
Extracting Semantic Relations Between
Concepts Using a Machine- Readable
Dictionary for Turkish
In this paper, we present a rule-based method in
order to extract semantic relations between words
in a dictionary and build a hierarchical structure.
The main rules used in the method can be divided
into three groups: rules that use the surface form
of the word, rules that use the category of the
word, and rules that use the definition of the word.
The root nodes of the hierarchy built were taken
from English WordNet. The hypernym extraction
ratio was observed around 94%. The contents and
the deficiencies of the hierarchy were discussed
and it was compared with Turkish WordNet.
Türkçe için Bilgisayarla İşlenebilir Sözlük Kullanarak Kavramlar Arasındaki Anlamsal İlişkilerin Belirlenmesi
Abstract
Bu makalede, bir sözlükteki sözcüklerin arasındaki anlamsal ilişkileri çıkaran ve hiyerarşik bir yapı oluşturan kural tabanlı bir yöntem sunulmaktadır. Yöntemdeki ana kurallar üç gruba ayrılabilir: sözcüğün yüzey biçimini kullanan kurallar, sözcüğün kategorisini kullanan kurallar ve sözcüğün tanımını kullanan kurallar. Oluşturulan hiyerarşinin kök düğümleri, İngilizce WordNet veri tabanından alınmıştır. Üst-kavram çıkarma oranı yaklaşık %94 olarak tespit edilmiştir. Hiyerarşinin içeriği ve eksiklikleri tartışılmış, Türkçe WordNet ile karşılaştırılmıştır.
Details
| Other ID | JA37GN57BM |
|---|---|
| Journal Section | Makaleler(Araştırma) |
| Authors | |
| Publication Date | June 24, 2016 |
| Published in Issue | Year 2006 Volume: 2 Issue: 1 - Volume: 2 Issue: 1 |
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