JOURNAL ARTICLE

An Approach for Measuring Semantic Relatedness between Words via Related Terms

M. A. Salahli

Year: 2009 Journal:   Mathematical and Computational Applications Vol: 14 (1)Pages: 55-63   Publisher: Multidisciplinary Digital Publishing Institute

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:
Computer science Natural language processing Semantic similarity Set (abstract data type) Determiner Artificial intelligence Information retrieval Noun

Metrics

23
Cited By
3.05
FWCI (Field Weighted Citation Impact)
11
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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