An introduction of word sense disambiguation based on Bayers model
Sumei Xi · Journal of Shandong Institute of Light Industry · 2006
Word sense disambiguation(WSD) is the key problem in natural language processing because the result of WSD affects many problems seriously in natural language processing and information retrieval.In this paper,large-scale real texts about word sense disambiguation are studied,and supervised word sense disambiguation approach is adopted based on dependency relation analysis and Bayes classifier.