Word Sense Disambiguation Using IndoWordNet

Word Sense Disambiguation (WSD) is considered as one of the toughest problem in the field of Natural Language Processing. IndoWordNet is a linked structure of WordNets of major Indian languages. Recently, several IndoWordNet based WSD approaches have been proposed and implemented for Indian languages. In this chapter, we present the usage of various other features of IndoWordNet in performing WSD. Here, we have used features like linked WordNets, semantic and lexical relations, etc. We have followed two unsupervised approaches, viz., (1) use of IndoWordNet in bilingual WSD for finding the sense distribution with the help of Expectation Maximization algorithm, (2) use of IndoWordNet in WSD for finding the most frequent sense using word and sense embeddings. Both these approaches justifies the importance of IndoWordNet for word sense disambiguation for Indian languages, as the results are found to be promising and can beat the baselines.