Automatic English Question Generation System Based on Template Driven Scheme
Hafedh Hussein, Mohammed Mahfouz Elmogy, Shawkat Kamal Guirguis · 2014
Today, automatic generation of questions is a considerable problem by many researchers. Automatic question generation from text has two major activity domains: dialogue/interactive question answering systems and educational assessment. In this paper, a proposed system is designed, implemented and tested to automate question generation process. The proposed system generates questions by selecting one sentence at a time, extracts sections of the source sentence, then applies transformation rules or patterns for constructing a question. It uses pure syntactic pattern-matching approach to generate content-related questions in order to improve the independent study of any textual material. The proposed system is powered by OpenNLP open source statistical parser to generate the questions using pattern matching strategy. The system is able to learn dynamically, ready to use in ease manner and accepts large-scale number of rules.