Word Sense Disambiguating Method Based on HowNet Semantic Relevancy Computation
Xifeng Wang · Journal of Anhui University of Technology · 2008
As one of the most important and also the most difficult problems of Chinese information processing field,disambiguation has not been entirely solved until now.And because of this problem,some application fields based on it have not achieved breakthrough progress.As the traditional disambiguating methods,rule-based disambiguation and statistic-based disambiguation both have their inevitable vice: Rule-based disambiguation has the problem of maturity and rationality of rules,while statistic-based disambiguation only takes affairs with large probability and ignores them with little probability.On the basis of our research on HowNet representing Chinese knowledge,this article has ameliorated the model based on HowNet semantic relevancy computation,and utilizes it to disambiguate.After experiment on lots of examples,the segmenting precision can achieve 97.1% if taking sentence as unit;it shows that the disambiguating method is very good.