Abstract
Word Sense Disambiguation (WSD) is an open problem of Natural Language Processing, which aims to identify the appropriate sense of a word in some context. Many approaches have been proposed to solve the problem, such as Knowledge-based, Supervised and Unsupervised Learning. Semi-Supervised Learning (SSL) has recently become an active research area that requires a small amount of labeled t…