Semantic Similarity Computing Method Based on Wikipedia
Xiaopeng Tao · Jisuanji gongcheng · 2011
Aiming at the low accuracy and poor intelligibility of current algorithms for semantic analysis,a semantic similarity computing method based on Wikipedia is proposed.Different from computing word's semantic similarity by category information,this method uses link information to calculate the similarity of different words in a way like human thinking.Result can be easily understood and the accuracy rate can be increased with semantic category.Experiment compared with current algorithms proves its advantage.