1. Automatic quiz generator
Authors : P Ganesh Patro, Ankit Jena, Aquib Baig, Jyotirmayee Rautray
Pages : 11-17
DOI : http://dx.doi.org/10.21172/1.164.02
Keywords : Keywords—NLP, word2vec, sentence selection, gap selection, question generation. Abstract :Automatic quiz generation tackles the problem of generating questions from free-form texts. In this project, we seek to tackle the complex and interesting problem of question generation for the purpose of enhancing the educational experience of students. Learning through evaluation has been widely known to be a very effective method of assessing a student’s knowledge. Nowadays, academicians spend a lot of time generating test papers and quizzes manually and students spend a lot of time for feedback. We wanted to build a system that can help you assess yourself by giving the input as a text of whatever material, and on this basis, they get a set of questions with answers. A similar approach can be used by mentors for creating test papers and quizzes. By making this in a computerized application, we can reduce the task of an educator. Much time can be saved if we can know what appropriate questions can be asked for the given input of text. Hence, we want to develop a system that can generate various logical questions from the given text input. We deal with this problem using three key steps starting from sentence selection, gap selection, and question formation. Finally given an answer, we generate a list of certain discriminators using word2vec to confuse the candidate regarding similarity space of the answer.
Citing this Journal Article :P Ganesh Patro, Ankit Jena, Aquib Baig, Jyotirmayee Rautray, "Automatic quiz generator", Volume 16 Issue 4 - June 2020, 11-17
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