Word sense disambiguation based on improved vector space model
Chenguang Zhao, Dongfeng Cai · Journal of Computer Applications · 2010
To increase the word disambiguation accuracy,a word disambiguation solution based on improved Vector Space Model (VSM) was presented.Since the algorithm takes account of grammar,morphology and semantic and calculates the context similarity requiring the character vector abstraction,the algorithm is able to achieve better results by using collocation constraint.The open test precision can reach 80%.The result shows that the method can fully describe the features of context,and is beneficial to further semantic parsing.