Open AccessRandom Multiple Choice Questions Generation using Nlp
Author(s) -
Ch Hemanth*,
M Venkat,
B. Chitti Babu,
U Rochasvi,
P Daanesh
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7104.079920
Subject(s) - paragraph , computer science , task (project management) , process (computing) , automation , artificial intelligence , natural language processing , resource (disambiguation) , data science , machine learning , world wide web , programming language , engineering , mechanical engineering , computer network , systems engineering
Students’ life is incomplete without exams because exams are those that help students in evaluating themselves and thus proceeding further in studies. So, the starting step in conducting such examinations is creating a question paper. Generating a question paper is still in its traditional way, where lecturers or professors that are the teaching staff are doing it manually and wasting a terrible amount of time in selecting what type of questions are to be generated. It’s so difficult to create a question paper as it includes a lot of resource utilization and exhaustion. These tasks can be automated. As we are seeing a lot of development in new, exciting technologies and these technologies can help and can make the process of automation easier. So for automation, we use Machine Learning and Natural Language Processing as this whole task involves using and manipulating textual data. In this solution, we provide our model with a textual paragraph from which the questions are to be selectively generated and we develop the multiple choices using a certain distinctive process for the users.