Title :
Advancing the Semantic Relatedness Approach by Using Sense Popularity
Author_Institution :
Dept. of Comput. Sci., Indiana Univ., Fort Wayne, IN, USA
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;
Conference_Titel :
Semantic Computing (ICSC), 2014 IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
978-1-4799-4002-8
DOI :
10.1109/ICSC.2014.46
