Automation of Question-Answer Generation

Abstract

In this paper, an automatic system is proposed to generate different kinds of questions and answers from the input text. Question answer generation systems have been an interesting field of research for over decades. From generating questions for educational purposes to preparing answers to questions that could be asked in a legal proceeding, the purpose of question answer generation(QAG) systems is to reduce the tedious task of going through large texts. In our system, question-answer pairs from a given input text are generated using linguistic and statistical knowledge of text. Initially, those sentences are identified from the input text on which questions can be framed and in further steps, identified sentences are ranked in an order of importance. Built specifically for assessment purpose, the system generates multiple choices, fill-ups, true-false, binary and wh type questions based on high ranked sentences in the last step. In performance evaluation of the proposed system, it is found that the system is performing well and it is close to state of art research in the standard linguistic approach.