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Experimental application to semantic clusters in WordNet


Experimental application to semantic clusters in WordNet

Zhao, YunXiao (2003) Experimental application to semantic clusters in WordNet. Other thesis, Concordia University.

Text (application/pdf)
MQ91159.pdf - Accepted Version


This paper reports on experiments into the semantics of nouns in documents through WordNet. Because WordNet is founded on semantic relations, we can compare every two nouns of a document with their common categories to discover whether they have semantic relations and then group them into a cluster if they do. In this project, generally we just verify three semantic relations of WordNet, namely hypernym, meronym and synonym. Assume once we have the clusters, we can tell the basic meanings of a document. Based on this assumption, we can compare those documents by comparing their clusters to see their closure. This project is designed on the above purpose and implemented under Unix system using the Scheme language.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Other)
Authors:Zhao, YunXiao
Pagination:66 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Major reports (M.Comp.Sc.)
Program:Dept. of Computer Science
Thesis Supervisor(s):Bergler, Sabine
ID Code:2427
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:28
Last Modified:18 Jan 2018 17:19
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