AN APPROACH TO WORD SENSE DISAMBIGUATION BASED ON MULTI-LEVEL SENTENCE SIMILARITYAND VECTOR SPACE MODEL

This paper introduces and contrasts the main approaches of word sense disambiguation(WSD) prevailing in the world,and analyzes their advantages and disadvantages.The paper focuses on the vector space model,and further more,puts forward a method based on the Multi-level Sentence Similarity(MSS) to improve the original method and overcome its shortages.