Automatic Fill-in-the-blank Type Questions and Answer Generation from Text Using NLP

Sonam Soni, Praveen Kumar and Amal Saha

Knowledge and learning have always been of utmost priority and for this, the set of questions and answers prove to be helpful in this regard. This paper presents the Automated Question-answer Generation (QG) using Natural Language Processing (NLP)and produces fill-in-the blanks type questions with multiple choice from a text document by extracting the important informative sentences. The most beneficial merit of this system is that, it can be used as an application, and that tool will be used for education purposes for quick generation of quizzes and practice questions. The paper provides the detailed description which has been used to generate Questions.

Volume 11 | Issue 10

Pages: 36-43

DOI: 10.5373/JARDCS/V11I10/20193003