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Argument Analytics

Argument Analytics

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Original languageEnglish
Title of host publicationComputational Models of Argument
Subtitle of host publicationProceedings from the Sixth International Conference on Computational Models of Argument (COMMA)
EditorsPietro Baroni, Thomas F. Gordon, Tatjana Scheffler, Manfred Stede
Place of PublicationNetherlands
PublisherIOS Press
Pages371-378
Number of pages8
Volume287
ISBN (Electronic)9781614996866
ISBN (Print)9781614996859
DOIs
StatePublished - 2016
EventThe 6th International Conference on Computational Models of Argument - Potsdam, Germany

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume287
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

ConferenceThe 6th International Conference on Computational Models of Argument
CountryGermany
CityPotsdam
Period13/09/1616/09/16
Internet address

Abstract

Rapid growth in the area of argument mining has resulted in an ever increasing volume of analysed argument data. Being able to store information about arguments people make in favour or against different opinions, decisions and actions is a highly valuable resource, yet extremely challenging for sense-making. How, for example, can an analyst quickly check whether in a corpus of citizen dialogue people tend to rather agree or disagree with new policies proposed by the department of transportation; how can she get an insight into the interactions typical of this specific dialogical context; how can the general public easily see which presidential candidate is currently winning the debate by being able to successfully defend his arguments? In this paper, we propose Argument Analytics – a suite of techniques which provide interpretation of, and insight into, large-scale argument data for both specialist and general audiences.

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  • Final Published Version

    Final published version, 583 KB, PDF-document

    © 2016 The authors and IOS Press. This book is published online with Open Access and distributed under the terms of the Creative
    Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

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