Automatic English Question Generation System Based on Template Driven Scheme
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.
Keywords: Natural Language Processing, Parsing, Question Generation, Questionnaire System.
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ABOUT THE AUTHORS
Hafedh Hussein
Information Technology Department, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt
Mohammed Elmogy
Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura, P.O. 35516, Egypt
Shawkat Guirguis
Information Technology Department, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt
Hafedh Hussein
Information Technology Department, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt
Mohammed Elmogy
Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura, P.O. 35516, Egypt
Shawkat Guirguis
Information Technology Department, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt
