An Word Similarity Computing Method Based on Information Content of Sememe
LI Guo-ji · Computer and Information Technology · 2015
Chinese words similarity computation based on Hownet commonly used sememe distance and depth, the similarity measure is defined directly by a formula and rely on the selection of parameters. This paper presented a new method of Chinese words semantic similarity computation. The method is based on new How Net with its lexical taxonomy to calculate the information content of How Net sememe, and combines the idea of the similarity computing between two objects of information theory to compute word similarity from three dimensions: the information content of main sememe, the information content of sememe and Event Role, the sememe node similarity. The experimental results demonstrate that the method is reasonable and effective.