A Chinese Word Sense Disambiguation System Based on Primitive CO-Occurrence Data
Chunyan Yu · Computer Technology and Development · 2006
Word sense disambiguation has always been important in natural language processing.The precision rate of word sense disambiguation depends on the completeness of disambiguation knowledge.Most methods currently which are based on dictionary and on corpora are not satisfiable.This paper introduces an automatic system of Chinese word sense disambiguation which is based on HOWNET and takes primitive co-occurrence data matrix as the disambiguation knowledge.The result of experimentation proves that the the precision rate of word sense disambiguation is higher.