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.
Original language | English |
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Title of host publication | Computational Models of Argument |
Subtitle of host publication | Proceedings from the Sixth International Conference on Computational Models of Argument (COMMA) |
Editors | Pietro Baroni, Thomas F. Gordon, Tatjana Scheffler, Manfred Stede |
Place of Publication | Netherlands |
Publisher | IOS Press |
Pages | 371-378 |
Number of pages | 8 |
Volume | 287 |
ISBN (Electronic) | 9781614996866 |
ISBN (Print) | 9781614996859 |
DOIs | |
Publication status | Published - 2016 |
Event | The 6th International Conference on Computational Models of Argument - University of Potsdam, Potsdam, Germany Duration: 13 Sept 2016 → 16 Sept 2016 http://www.ling.uni-potsdam.de/comma2016/ |
Publication series
Name | Frontiers in Artificial Intelligence and Applications |
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Publisher | IOS Press |
Volume | 287 |
ISSN (Print) | 0922-6389 |
ISSN (Electronic) | 1879-8314 |
Conference
Conference | The 6th International Conference on Computational Models of Argument |
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Country/Territory | Germany |
City | Potsdam |
Period | 13/09/16 → 16/09/16 |
Internet address |
Keywords
- Argument Interchange Format
- corpus resources
- argument visualisation