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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 10, October 2016

Supervised Word Sense Disambiguation

Mihir Sawant | Tanya Sangoi | Sindhu Nair ^[3]

Abstract: Word Sense Disambiguation (WSD) is the method of the correct sense for word in a context. In this paper we have researched the various approaches for WSD Knowledge based, Supervised, Semi-supervised, Unsupervised methods. This paper has further elaborated on the supervised methods used for WSD. The methods that are compared in this paper are Decision Trees, Decision Lists, Support Vector Machines, Neural Networks, Nave Bayes methods, Exemplar learning.

Keywords: Word Sense Disambiguation, Natural Language Processing, Supervised Learning, Knowledge Acquisition Bottleneck, Sense tagged corpora

Edition: Volume 5 Issue 10, October 2016,

Pages: 1845 - 1848