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Overview of Touché 2022 : Argument Retrieval

Bondarenko, Alexander (author)
Martin Luther Univ Halle Wittenberg, Halle, Germany.
Fröbe, Maik (author)
Martin Luther Univ Halle Wittenberg, Halle, Germany.
Kiesel, Johannes (author)
Bauhaus Univ Weimar, Weimar, Germany.
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Syed, Shahbaz (author)
Univ Leipzig, Leipzig, Germany.
Gurcke, Timon (author)
Paderborn Univ, Paderborn, Germany.
Beloucif, Meriem (author)
Uppsala universitet,Institutionen för lingvistik och filologi
Panchenko, Alexander (author)
Skolkovo Inst Sci & Technol, Moscow, Russia.
Biemann, Chris (author)
Univ Hamburg, Hamburg, Germany.
Stein, Benno (author)
Bauhaus Univ Weimar, Weimar, Germany.
Wachsmuth, Henning (author)
Paderborn Univ, Paderborn, Germany.
Potthast, Martin (author)
Univ Leipzig, Leipzig, Germany.
Hagen, Matthias (author)
Martin Luther Univ Halle Wittenberg, Halle, Germany.
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Martin Luther Univ Halle Wittenberg, Halle, Germany Bauhaus Univ Weimar, Weimar, Germany. (creator_code:org_t)
2022-08-25
2022
English.
In: Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2022). - Cham : Springer Nature. - 9783031136436 - 9783031136429 ; , s. 311-336
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • This paper is a condensed report on the third year of the Touche lab on argument retrieval held at CLEF 2022. With the goal to foster and support the development of technologies for argument mining and argument analysis, we organized three shared tasks in the third edition of Touche: (a) argument retrieval for controversial topics, where participants retrieve a gist of arguments from a collection of online debates, (b) argument retrieval for comparative questions, where participants retrieve argumentative passages from a generic web crawl, and (c) image retrieval for arguments, where participants retrieve images from a focused web crawl that show support or opposition to some stance.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)

Publication and Content Type

ref (subject category)
kon (subject category)

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