Title :
Measure Semantic Similarity between English Words
Author :
HU, Jinwu ; DAI, Liuling ; Liu, Bin
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing
Abstract :
Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfactory results close to what humans would perceive. In this paper, we proposed a novel approach to measure the semantic similarity between two English words by exploring the utility of HowNet, which is a valuable Chinese-English bilingual knowledge base. When compared with a benchmark set by human similarity judgment, the measures achieved by our algorithm are quite sound.
Keywords :
computational linguistics; knowledge based systems; natural language processing; Chinese-English bilingual knowledge base; English word; HowNet utility; natural language processing application; semantic similarity measure; Computer science; Conference management; Humans; Information retrieval; Joining processes; Knowledge management; Natural language processing; Solid modeling; Taxonomy; Technology management; Semantic similarity; bilingual knowledge base; hownet;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.92
