Automatic question generation for supporting argumentation
Nguyen-Thinh Le, Nhu-Phuong Nguyen, Kazuhisa Seta, Niels Pinkwart · Vietnam Journal of Computer Science · 2014
Given a discussion topic, students may sometimes not proceed with their argumentation. Can questions which are semantically related to a given discussion topic help students develop further arguments? In this paper, we introduce a technical approach to generating questions upon the request of students during the process of collaborative argumentation. The contribution of this paper lies in combining different NLP technologies and exploiting semantic information to support users develop their arguments in a discussion session via tailored questions of different types.