I. Introduction
Question Generation and Question Answering is a task of Natural Language Processing which is an active research direction over the last few decades. It aims to generate questions from a given piece of text, where answers to the questions lie within the given passage. Automatic Question Answer Generation has numerous possible and useful applications in different domains. One key application of AQAG is in the education and publishing industry where it has a huge potential that can ease the task of both the faculty and their students [1]. Not only that, AQAG can also help to suggest Frequently Asked Questions(FAQ)s, assist conversational agents or chatbots, intelligent tutoring, and also help in self-learning tutorials to generate questions used for training and testing.