An Improved Word Similarity Computing Method Based on HowNet

Word similarity computing based on the "HowNet" of Liu-Qun is a representative method to compute the word similarity.But it is found that some words with contrastive or contradictive meanings are computed with high similarity compared those true synonymous.To resolve this defect for the word polarity analysis,we confine the value of word similarity between in this paper,and enhance the word similarity computation on the basis of Liu's paper by employing sememes' depth information,the antonym and definition information of the sememe.This method produces a good performance in the word polarity recognition experiment,achieving 99.07% in accuracy and 99.11% in recall.