Overview of Touché 2022

Argument Retrieval

verfasst von

Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Shahbaz Syed, Timon Gurcke, Meriem Beloucif, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen

Abstract

This paper is a report on the third year of the Touché lab on argument retrieval hosted at CLEF 2022. With the goal of supporting and promoting the research and development of new technologies for argument mining and argument analysis, we have organized three shared tasks: (a) argument retrieval for controversial topics, where the task is to find sentences that reflect the gist of arguments from online debates, (b) argument retrieval for comparative issues, where the task is to find argumentative passages from web documents that help in making a comparative decision, and (c) image retrieval for arguments, where the task is to find images that show support for or opposition to a particular stance.

Externe Organisation(en)

Martin-Luther-Universität Halle-Wittenberg
Bauhaus-Universität Weimar
Universität Leipzig
Universität Paderborn
Uppsala University
Skolkovo Institute of Science and Technology
Universität Hamburg

Typ

Aufsatz in Konferenzband

Seiten

2867-2903

Anzahl der Seiten

37

Publikationsdatum

2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Informatik (insg.)

Elektronische Version(en)

https://ceur-ws.org/Vol-3180/paper-247.pdf (Zugang: Offen)