The best performance method to Solve WSD Problem: Comparative Study

Authors

  • Boshra F Zopon AL_Bayaty Department of Computer Science,Yashwantrao Mohite College, Bharati Vidyapeeth University, India and AL-Mustansiriya University, Baghdad, Iraq
  • Joshi S Department of Computer Engineering, Engineering College, Bharati Vidyapeeth University, India

Keywords:

Decision List, Decision Tree, Naïve Bayes, supervised learning approaches, WSD, WordNet, Senseval-3

Abstract

Word is used to convey or extract meaning of particular information. If data that is meaning associated with word is misinterpreted then it will lead to incorrect data. To avoid this problem these is need to resolve meaning of given word correctly. This task can be performed with the help of repository of ambiguous word WordNet2.1 which gives meaning and POS of given word. Now with the help of some other parameter this data could be utilized. That parameter is nothing but context around given word.

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Published

2014-10-31

How to Cite

[1]
B. F Zopon AL_Bayaty and S. Joshi, “The best performance method to Solve WSD Problem: Comparative Study”, Int. J. Comp. Sci. Eng., vol. 2, no. 10, pp. 6–8, Oct. 2014.

Issue

Vol. 2 No. 10 (2014): IJCSE October Edition

Section

Research Article

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