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Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2026 / Volume: 34 Issue: 1

AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS

İnci Düzenli(YILDIZ TECHNICAL UNIVERSITY)
M. Fatih Amasyalı(YILDIZ TECHNICAL UNIVERSITY)
Sayfa
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Yayın Tarihi
2016-03-01
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Because, it does not require any seed words manually labeled.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Patterns between words are generally used for automatic information extraction.
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Temel Bulgular & Veri:In this sets, semantically relatedness ratio is above 70%.
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Sonuç & Katkı:Because, it does not require any seed words manually labeled.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Automatic information extraction · discovery of similar words · synonyms

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.

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Bu Makaleye Atıf Yap

Düzenli, İ., Amasyalı, M. F. (2016). AUTOMATIC DISCOVERY OF SIMILAR WORDS BY SUBSTITUTE VECTORS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Volume: 34 Issue: 1. https://ajindex.com/articles/1345232

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