Question Generation from Paragraphs at UPenn: QGSTEC System Description
Prashanth Mannem, Rashmi Prasad, Aravind K. Joshi · 2010
Abstract. This paper describes the question generation system developed at UPenn for QGSTEC, 2010. The system uses predicate argument structures of sentences along with semantic roles for the question generation task from paragraphs. The semantic role labels are used to identify relevant parts of text before forming questions over them. The generated questions are then ranked to pick final six best questions.