DocumentCode
1787458
Title
Advancing the Semantic Relatedness Approach by Using Sense Popularity
Author
Donevska, Ivana
Author_Institution
Dept. of Comput. Sci., Indiana Univ., Fort Wayne, IN, USA
fYear
2014
fDate
16-18 June 2014
Firstpage
246
Lastpage
247
Abstract
This paper presents an approach for semantic word comparison by coupling natural text descriptions with semi-structured knowledge for revealing more precise context information. The goal of the study is to present how popularity of a word´s sense can affect semantic relatedness when two words are compared.
Keywords
knowledge representation; text analysis; context information; natural knowledge representation approach; natural text description coupling; semantic relatedness approach; semantic word comparison; semistructured knowledge; sense popularity; Automobiles; Context; Correlation; Dictionaries; Frequency measurement; Semantics; frequency of use; semantic relatedness;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing (ICSC), 2014 IEEE International Conference on
Conference_Location
Newport Beach, CA
Print_ISBN
978-1-4799-4002-8
Type
conf
DOI
10.1109/ICSC.2014.46
Filename
6882030
Link To Document