Search
 
loader loading subjects...
cover
First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions
Daan Verbree, Rutger Rienks, Dirk Heylen
183 - 194
Frontiers in Artificial Intelligence and Applications
Volume 144: Computational Models of Argument
Abstract

This paper presents our efforts to create argument structures from meeting transcripts automatically. We show that unit labels of argument diagrams can be learnt and predicted by a computer with an accuracy of 78,52% and 51,43% on an unbalanced and balanced set respectively. We used a corpus of over 250 argument diagrams that was manually created by applying the Twente Argument Schema. In this paper we also elaborate on this schema and we discuss applications and the role we foresee the diagrams to play.

$35.00 / €27.50 / £22.00
Add PDF to cart