DocumentCode
2809394
Title
Comparison of current semantic similarity methods in WordNet
Author
Li, Haisheng ; Tian, Yun ; Ye, Ben ; Cai, Qiang
Author_Institution
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Volume
4
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Semantic similarity calculating has become a widespread topic in the field such as artificial intelligence, natural language processing, information retrieval and so on. WordNet is an English lexical database for synsets and relations. It is simple and effective to calculate the similarity between concepts in WordNet. Five semantic similarity methods based on WordNet are discussed in this paper. By analyzing and comparing those methods, the features of each methods are presented and experiment results are given finally.
Keywords
computational linguistics; database management systems; natural language processing; English lexical database; WordNet; artificial intelligence; current semantic similarity method; information retrieval; natural language processing; synsets; Correlation; Vehicles; WordNet; information content; semantic distance; semantic similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619038
Filename
5619038
Link To Document