Ambiguity has been always interwoven with human language and its evolution. Some argue that ambiguity of the human languages is a byproduct of its complexity, with words that are frequently used in language often being assigned to more than one reference in the real world, thus resulting in ambiguity. One of the biggest challenges in Natural Language Processing is for the computer to comprehend in what sense a specific word is used. The process of identifying the correct sense of the word in a particular sentence is called Word Sense Disambiguation. WSD is simply the lexical and semantic analysis in order to determine the contextual meaning of a word. It is a complex problem as it involves drawing knowledge from various sources. Significant amount of effort has been put into resolving this problem in machine learning since its inception but the toil is still ongoing.