Automatic question generation using discourse cues

Authors:
Manish Agarwal;Rakshit Shah;Prashanth Mannem
Affiliations:
International Institute of Information Technology, Hyderabad, AP, India;International Institute of Information Technology, Hyderabad, AP, India;International Institute of Information Technology, Hyderabad, AP, India
Venue:
IUNLPBEA '11 Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications
Year:
2011

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Abstract

In this paper, we present a system that automatically generates questions from natural language text using discourse connectives. We explore the usefulness of the discourse connectives for Question Generation (QG) that looks at the problem beyond sentence level. Our work divides the QG task into content selection and question formation. Content selection consists of finding the relevant part in text to frame question from while question formation involves sense disambiguation of the discourse connectives, identification of question type and applying syntactic transformations on the content. The system is evaluated manually for syntactic and semantic correctness.