AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS

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Sigma Mühendislik ve Fen Bilimleri Dergisi
Volume:34 Issue:1
AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS

AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS

Authors : İnci DÜZENLİ, M Fatih AMASYALI

Pages : 125-133

View : 87 | Download : 8

Publication Date : 2016-03-01

Article Type : Research Paper

Abstract :Patterns between words are generally used for automatic information extraction. However, the patterns can only find related words close to each other. In this study, a method based on substitute vectors can overcome of this difficulty. Firstly, the word sets having the same substitute vector are constructed. Then, similar word sets are obtained according to the number of co-occurring sets. In this sets, semantically relatedness ratio is above 70%. The proposed method is unsupervised. Because, it does not require any seed words manually labeled.
Keywords : Automatic information extraction, discovery of similar words, synonyms, near synonyms, substitute vectors, natural language processing, artificial intelligence

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