@inproceedings{edf964b6469a47de9bf070f6fd973096,
title = "First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions",
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.",
keywords = "HMI-MI: MULTIMODAL INTERACTIONS, EC Grant Agreement nr.: FP6/506811, METIS-237657, IR-66657, EWI-8290",
author = "Daan Verbree and R.J. Rienks and Heylen, {Dirk K.J.}",
year = "2006",
month = sep,
language = "Undefined",
isbn = "1-58603-652-1",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS",
number = "10",
pages = "183--194",
editor = "P. Dunne and T.J.E. Bench-Capon",
booktitle = "Proceedings of the in 1st International Conference on Computational Models of Argument",
address = "Netherlands",
note = "in 1st International Conference on Computational Models of Argument, Liverpool, UK. ; Conference date: 01-09-2006",
}