Argument Analytics

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

7 Citations (Scopus)
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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.
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
Number of pages8
ISBN (Electronic)9781614996866
ISBN (Print)9781614996859
Publication statusPublished - 2016
EventThe 6th International Conference on Computational Models of Argument - University of Potsdam, Potsdam, Germany
Duration: 13 Sept 201616 Sept 2016

Publication series

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


ConferenceThe 6th International Conference on Computational Models of Argument
Internet address


  • Argument Interchange Format
  • corpus resources
  • argument visualisation


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