Abstract

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.

Details

Title
Automatic question generation for supporting argumentation
Author
Le, Nguyen-thinh; Nguyen, Nhu-phuong; Seta, Kazuhisa; Pinkwart, Niels
Pages
117-127
Publication year
2014
Publication date
Feb 2014
Publisher
World Scientific Publishing Co. Pte., Ltd.
ISSN
21968888
e-ISSN
21968896
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1652987408
Copyright
The Author(s) 2014