Automatic Generation of Multiple-Choice Test Items from Paragraphs Using Deep Neural Networks

Abstract

Deep learning (DL) has taken the research community by storm. The employment of DL techniques can be seen everywhere, DL has been pervasive as methodology, and the area of multiple-choice question generation is also joining the club of DL applications. In this chapter, we propose a DL methodology to solve a problem which to our knowledge has not been tackled before: the generation of multiple-choice questions (MCQs) which are based on the information of not one sentence only, but on a sequence of sentences.