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

Daan Verbree, R.J. Rienks, Dirk K.J. Heylen

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    10 Citations (Scopus)
    54 Downloads (Pure)

    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.
    Original languageUndefined
    Title of host publicationProceedings of the in 1st International Conference on Computational Models of Argument
    EditorsP. Dunne, T.J.E. Bench-Capon
    Place of PublicationLiverpool, UK.
    PublisherIOS Press
    Pages183-194
    Number of pages12
    ISBN (Print)1-58603-652-1
    Publication statusPublished - Sep 2006

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    PublisherIOS Press
    Number10
    Volume144
    ISSN (Print)0922-6389
    ISSN (Electronic)1879-8314

    Keywords

    • HMI-MI: MULTIMODAL INTERACTIONS
    • EC Grant Agreement nr.: FP6/506811
    • METIS-237657
    • IR-66657
    • EWI-8290

    Cite this

    Verbree, D., Rienks, R. J., & Heylen, D. K. J. (2006). First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions. In P. Dunne, & T. J. E. Bench-Capon (Eds.), Proceedings of the in 1st International Conference on Computational Models of Argument (pp. 183-194). (Frontiers in Artificial Intelligence and Applications; Vol. 144, No. 10). Liverpool, UK.: IOS Press.