License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.12.10.175
URN: urn:nbn:de:0030-drops-178264
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17826/
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Al-Khatib, Khalid ; de Waard, Anita ; Freitag, Dayne ; Gurevych, Iryna ; Hou, Yufang ; Scells, Harrisen
Weitere Beteiligte (Hrsg. etc.): Khalid Al-Khatib and Anita de Waard and Dayne Freitag and Iryna Gurevych and Yufang Hou and Harrisen Scells

Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)

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dagrep_v012_i010_p175_22432.pdf (3 MB)

Abstract

This report summarizes the outcomes of the Dagstuhl Seminar 22432: "Towards a Unified Model of Scholarly Argumentation." The purpose of this Seminar was to enable robust advances in argumentation technology by collecting and collaborating on use cases in scholarly and biomedical discourse and working on a foundational model for argumentation in science and healthcare. Most importantly, the seminar served to develop a multidisciplinary, international research community devoted to building and maintaining principles, tools, and models for studying scholarly argumentation. Over the course of the seminar week, the seminar laid the foundation of a shared formalism, illuminated important scholarly use cases for argumentation modeling, and identified directions for future exploration.

BibTeX - Entry

@Article{alkhatib_et_al:DagRep.12.10.175,
  author =	{Al-Khatib, Khalid and de Waard, Anita and Freitag, Dayne and Gurevych, Iryna and Hou, Yufang and Scells, Harrisen},
  title =	{{Towards a Unified Model of Scholarly Argumentation (Dagstuhl Seminar 22432)}},
  pages =	{175--206},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{10},
  editor =	{Al-Khatib, Khalid and de Waard, Anita and Gurevych, Iryna and Hou, Yufang and Scells, Harrisen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/17826},
  URN =		{urn:nbn:de:0030-drops-178264},
  doi =		{10.4230/DagRep.12.10.175},
  annote =	{Keywords: Argument mining, Argument modeling, Scholarly discourse}
}

Keywords: Argument mining, Argument modeling, Scholarly discourse
Collection: DagRep, Volume 12, Issue 10
Issue Date: 2023
Date of publication: 03.05.2023

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