Analysis and comparison of 4 kinds of statistical word sense disambiguation models
Guo Jiang · Journal of Beijing Information Science & Technology University · 2011
Many modeling methods corresponding to different machine learning methods have been used for computational linguistic problems.To determine an appropriate modeling method,and select an effective machine learning methods is most important for statistical word sense disambiguation.In this paper the Bayesian model,decision tree model,vector space model and maximum entropy are probed comprehensively,Their effects on Chinese word sense disambiguation are compared,in order to build foundation for selecting and applying word sense disambiguation models.