Title :
A new approach to compute semantic relevance of Chinese words
Author :
Gang, Li ; Qiangbin, Dai ; Quan, Wei
Author_Institution :
Inf. Manage. Sch., Wuhan Univ., Wuhan, China
Abstract :
Words semantic relevance computation which explores semantic relevance/distance between two words is broadly used in many applications, such as word sense disambiguation, information retrieval, structural disambiguation in parsing syntactic, text categorization, etc. We study the relation among sememes and the functions of dynamic roles in concepts and their relevant sememes set. We also propose a new approach to compute words semantic relevance which is based on the relation files provided in HowNet. Experimental results show that this approach can reveal the semantic relevance between words efficiently.
Keywords :
knowledge based systems; natural language processing; word processing; Chinese word; HowNet; common sense knowledge base relation; semantic distance computation; word semantic relevance computation; Analytical models; Field-flow fractionation; Semantics; HowNet; dynamic role; semantic relevance; sememe relation;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641149