Comparison of Current Semantic Similarity Methods in WordNet
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.
wordnet semantic similarity semantic distance information content
Haisheng Li Yun Tian Ben Ye Qiang Cai
College of Computer and Information Engineering Beijing Technology and Business University Beijing, P.R.China, 100048
国际会议
太原
英文
408-411
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）