A Semantic Similarity Computing Approach Based on WordNet and Corpus Statistics
Dongwei Guo · Journal of Jilin University(Science Edition) · 2010
We first proposed a new method calculating semantic similarity parameter information content.The new algorithm is based on the concept semantic information in the knowledge base called WordNet and the probability in the corpus called self-information.Then,considering the existing algorithms are all domainrelated and the calculating processes are complicated,we proposed a universal method based on corpus statistics and WordNet calculating semantic similarity which can be used in information extraction,information retrieval,document clustering and ontology learning.The proposed method makes a substantial improvement experimenting on the benchmark data set-RB concept pairs.