Breadcrumb

 
 

Experimental application to semantic clusters in WordNet

Title:

Experimental application to semantic clusters in WordNet

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

[img]
Preview
PDF - Accepted Version
3134Kb

Abstract

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 > Faculty 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
Date:2003
Thesis Supervisor(s):Bergler, Sabine
ID Code:2427
Deposited By:Concordia University Libraries
Deposited On:27 Aug 2009 13:28
Last Modified:14 Dec 2012 16:36
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Document Downloads

More statistics for this item...

Concordia University - Footer