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Math. Comput. Appl. 2009, 14(1), 55-63; doi:10.3390/mca14010055

An Approach for Measuring Semantic Relatedness between Words via Related Terms

Department of Computer Engineering Canakkale On Sekiz Mart University, 17100 Canakkale, Turkey
Published: 1 April 2009
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Abstract

In this paper we propose a new approach for measuring semantic relatedness between words. The semantic relatedness between words are not measured directly, but are computed via set of words highly related to them, which we call the set of determiner words. Our approach for evaluating relatedness belongs to web page counting based measurement methods. We take into account some information, which contains hierarchical and other type of relations between the words. The experimental results demonstrate the effectiveness of proposed method.
Keywords: semantic relatedness; semantic similarity; information based measurement; information content semantic relatedness; semantic similarity; information based measurement; information content
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Salahli, M.A. An Approach for Measuring Semantic Relatedness between Words via Related Terms. Math. Comput. Appl. 2009, 14, 55-63.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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