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Automatically identifying transitions between locutions in dialogue

Automatically identifying transitions between locutions in dialogue

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

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Authors

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

Research units

Info

Original languageEnglish
Title of host publicationStudies in Logic and Argumentation
Subtitle of host publicationArgumentation and Reasoned Action. Volume I Proceedings of the 1st European Conference on Argumentation
EditorsDima Mohammed, Marcin Lewinski
Place of PublicationLisbon
PublisherCollege Publications
Volume1
ISBN (Print)9781848902114
StatePublished - 1 Jun 2016
Event1st European Conference on Argumentation - Lisbon, Portugal

Publication series

NameStudies in Logic and Argumentation
PublisherCollege Publications
Volume62

Conference

Conference1st European Conference on Argumentation
CountryPortugal
CityLisbon
Period9/06/1512/06/15
Internet address

Abstract

The contribution of this paper is theoretical foundations for dialogical argument mining, as well as initial implementation in software for dialogue processing. Automatically identifying the structure of reasoning from natural language is extremely demanding. Our hypothesis is that the structure of dialogue can yield additional clues as to argument structures that are created and cocreated. Our work has been performed using the MM2012 corpus in OVA+.

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