Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 3
Page No. 372 - 375

Key Phrase Extraction Using Naive Bayes’ in Question Generation System

Authors : P. Pabitha, S. Suganthi and Raja Ram

References

Barker, K. and N. Corrnacchia, 2000. Using noun phrase heads to extract document Keyphrases. Proceedings of the 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, May 14-17, 2000, Canada, pp: 40-52.

Megala, S., A. Kavitha and A. Marimuthu, 2013. Improvised stemming algorithm-TWIG. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 168-171.

Mihalcea, R. and P. Tarau, 2004. TextRank: Bringing order into texts. Proceedings of the Conference on Empirical Methods in Natural Language Processing. http://www.citeulike.org/user/johnkork/article/430523.

Osinski, S., J. Stefanowski and D. Weiss, 2004. Lingo: Search results clustering algorithm based on singular value decomposition. Proceedings of the International Conference on Intelligent Information Systems (IIPWM), May 17-20, 2004, Zakopane, Poland, pp: 359-367.

Porter, M.F., 1980. An algorithm for suffix stripping. Program Electron. Lib. Inform. Syst., 14: 130-137.
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Turney, P.D, 2000. Learning algorithms for keyphrase extraction. J. Inform. Retriev., 2: 303-336.
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