Towards argument mining from dialogue

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

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

14 Citations (Scopus)

Abstract

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.

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
Pages185-196
Number of pages12
ISBN (Electronic)9781614994367
ISBN (Print)9781614994350
DOIs
Publication statusPublished - 2014
EventFifth International Conference on Computational Models of Argument - Atholl Palace Hotel, Pitlochry, United Kingdom
Duration: 9 Sep 201412 Sep 2014
http://www.comma-conf.org/

Publication series

NameFrontiers in artificial intelligence and applications
PublisherIOS Press
Volume266
ISSN (Print)0922-6389

Conference

ConferenceFifth International Conference on Computational Models of Argument
Abbreviated titleCOMMA 2014
CountryUnited Kingdom
CityPitlochry
Period9/09/1412/09/14
Internet address

Keywords

  • Argument Mining
  • Dialogue Structure
  • Inference Anchoring Theory

Research Output

  • 14 Citations
  • 1 Book

Computational Models of Argument: Proceedings of COMMA 2014

Parsons, S. (ed.), Oren, N. (ed.), Reed, C. (ed.) & Cerutti, F. (ed.), 2014, Netherlands: IOS Press. 485 p. (Frontiers in Artificial Intelligence and Applications; vol. 266)

Research output: Book/ReportBook

  • Cite this

    Budzynska, K., Janier, M., Kang, J., Reed, C., Saint-Dizier, P., Stede, M., & Yaskorska, O. (2014). Towards argument mining from dialogue. In S. Parsons, N. Oren, C. Reed, & F. Cerutti (Eds.), Computational Models of Argument: Proceedings of COMMA 2014 (pp. 185-196). (Frontiers in artificial intelligence and applications; Vol. 266). IOS Press. https://doi.org/10.3233/978-1-61499-436-7-185