Affordable Access

First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions

IOS Press
Publication Date


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.

There are no comments yet on this publication. Be the first to share your thoughts.