QUESGEN: A framework for automatic question generation using semantic web and lexical databases

Abstract

Semantic web and lexical databases offer multifaceted purposes. In this chapter, we present an automatic question generation framework for teachers that deploys semantic web and lexical databases for generating questions for a specific lesson topic. This framework is intended to assist teachers in preparing questions for their lessons. We investigated two research questions: (1) “which semantic/lexical database is more appropriate for which learning domain?” and (2) “can a vector space model-based ranking algorithm enhance the relevance of generated questions?”.