Automated argumentation mining to the rescue? Envisioning argumentation and decision-making support for debates in open online collaboration communities

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

Abstract

Argumentation mining, a relatively new area of discourse analysis, involves automatically identifying and structuring arguments. Following a basic introduction to argumentation, we describe a new possible domain for argumentation mining: Debates in open online collaboration communities. Based on our experience with manual annotation of arguments in debates, we envision argumentation mining as the basis for three kinds of support tools, for authoring more persuasive arguments, finding weaknesses in others' arguments, and summarizing a debate's overall conclusions.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st Workshop on Argumentation Mining, ArgMining 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
EditorsNancy Green, Kevin Ashley, Diane Litman, Chris Reed, Vern Walker
PublisherAssociation for Computational Linguistics (ACL)
Pages59-63
Number of pages5
ISBN (Electronic)9781941643068
StatePublished - 2014
Externally publishedYes
Event1st Workshop on Argumentation Mining, ArgMining 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, United States
Duration: Jun 26 2014 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference1st Workshop on Argumentation Mining, ArgMining 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
Country/TerritoryUnited States
CityBaltimore
Period6/26/14 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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