Automatic / Smart Question Generation System for Academic Purpose

Abstract In this paper, we present a novel approach designed for automatic / smart question generation system for academic purpose. Preparation of highly standard questions which encourage student’s thinking ability is very challengeable task that need to be performed by the academicians. So, there arises a need for automatic question generation. Basically, Question Generation from text is a Natural Language Processing task combining Natural Language Understanding and Natural Language Generation. In this paper, we consider Automatic Question Generation system that generates specific trigger questions and multiple choice questions from students literature review paper. To facilitate generation of specific trigger question, the system extracts key concepts from student’s paper using Lingo algorithm. Also, to bring out generation of multiple choice questions the system pulling out abbreviations from student’s review paper using regular expression pattern matching technique