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A Corpus of Argument Networks

A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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  • Barbara Konat
  • John Lawrence
  • Joonsuk Park
  • Katarzyna Budzynska
  • Chris Reed

Research units


Original languageEnglish
Title of host publicationLREC 2016
Subtitle of host publicationProceedings for the Tenth International Conference on Language Resources and Evaluation
EditorsNicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of PublicationSlovenia
PublisherEuropean Language Resources Association
Number of pages8
ISBN (Electronic)9782951740891
StatePublished - 2016
EventTenth International Conference on Language Resources and Evaluation - Portoroz, Slovenia


ConferenceTenth International Conference on Language Resources and Evaluation
Internet address


Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens. Whilst policy makers could potentially benefit from such enormous feedback from society, they first face the challenge of making sense out of the large volumes of data produced. This creates a demand for tools and technologies which will enable governments to quickly and thoroughly digest the points being made and to respond accordingly. By determining the argumentative and dialogical structures contained within a debate, we are able to determine the issues which are divisive and those which attract agreement. This paper proposes a method of graph-based analytics which uses properties of graphs representing networks of arguments pro- & con- in order to automatically analyse issues which divide citizens about new regulations. By future application of the most recent advances in argument mining, the results reported here will have a chance to scale up to enable sense-making of the vast amount of feedback received from citizens on directions that policy should take.

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  • Final Published Version

    Final published version, 1 MB, PDF-document

    Copyright by the European Language Resources Association. The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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