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IJSRP, Volume 7, Issue 11, November 2017 Edition [ISSN 2250-3153]

      A.S.M Nibras, M.F.F Mohamed, I.S.M Arham, A.M.M Mafaris, M.P.A.W Gamage

Abstract: This paper presents a Question and Answer Generating System based on the approach of Natural Language Processing. As an examiner needs to ask suitable and good questions and prepare correct answers. The potential benefits this system may assist examiners meeting appropriate questions and answers. When a text input is given, this system deeply analyzes the text content and generates a set of questions and suitable answers.

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A.S.M Nibras, M.F.F Mohamed, I.S.M Arham, A.M.M Mafaris, M.P.A.W Gamage (2017); Automatic Question and Answer Generation from Course Materials; Int J Sci Res Publ 7(11) (ISSN: 2250-3153).



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