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Towards argument mining from dialogue

Towards argument mining from dialogue

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

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  • Katarzyna Budzynska
  • Mathilde Janier
  • Juyeon Kang
  • Chris Reed
  • Patrick Saint-Dizier
  • Manfred Stede
  • Olena Yaskorska

Research units


Original languageEnglish
Title of host publicationComputational Models of Argument
Subtitle of host publicationProceedings of COMMA 2014
EditorsSimon Parsons, Nir Oren, Chris Reed, Federico Cerutti
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages12
ISBN (Electronic)9781614994367
ISBN (Print)9781614994350
StatePublished - 2014
EventFifth International Conference on Computational Models of Argument - Pitlochry, United Kingdom

Publication series

NameFrontiers in artificial intelligence and applications
PublisherIOS Press
ISSN (Print)0922-6389


ConferenceFifth International Conference on Computational Models of Argument
Abbreviated titleCOMMA 2014
CountryUnited Kingdom
Internet address


Argument mining has started to yield early results in automatic analysis of text to produce representations of reason-conclusion structures. This paper addresses for the first time the question of automatically extracting such structures from dialogical settings of argument. More specifically, we introduce theoretical foundations for dialogical argument mining as well as show the initial implementation in a software for dialogue processing, and the application in corpus analysis. We combine analysis of illocutionary structure with structured argumentation frameworks as our scaffolding, and apply a combination of statistical and grammatically based analytical techniques.

Research outputs


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