Fifth international Symposium on telecommunication , 2010-12-04

Title : ( Using WordNet to determine semantic similarity of words )

Authors: Mostafa GhazizadehAhsaee , Mahmoud Naghibzadeh , S.Ehsan Yasrebi ,

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Abstract

Word and concept similarity assessment is one of the most important elements in natural language processing and information and knowledge retrieval. WordNet, as a popular concept hierarchy, is used in many such applications. Similarity of words in WordNet is also considered in recent researches. One of the new researches that uses WordNet, has calculated similarity between each two words by considering Depth of Subsumer of the words and Shortest Path between them.In this paper we have improved semantic similarity measure by modifying transfer functions of the previous research. We have tuned parameters of the transfer functions using particle swarm optimization. Based on our experimental results on a benchmark set by human similarity judgment, the resultant correlation has been improved

Keywords

, Semantic similarity, WordNet, natural language processing, information and knowledge
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@inproceedings{paperid:1020401,
author = {GhazizadehAhsaee, Mostafa and Naghibzadeh, Mahmoud and S.Ehsan Yasrebi},
title = {Using WordNet to determine semantic similarity of words},
booktitle = {Fifth international Symposium on telecommunication},
year = {2010},
location = {تهران, IRAN},
keywords = {Semantic similarity; WordNet; natural language processing; information and knowledge retrieval},
}

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%0 Conference Proceedings
%T Using WordNet to determine semantic similarity of words
%A GhazizadehAhsaee, Mostafa
%A Naghibzadeh, Mahmoud
%A S.Ehsan Yasrebi
%J Fifth international Symposium on telecommunication
%D 2010

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