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
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;
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
DOI :
10.1109/ICCASM.2010.5619038
