Overview of Touché 2022

Argument Retrieval

authored by

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.

External Organisation(s)

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

Type

Conference article

Journal

CEUR Workshop Proceedings

Volume

3180

Pages

2867-2903

No. of pages

37

ISSN

1613-0073

Publication date

2022

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Science(all)

Electronic version(s)

https://ceur-ws.org/Vol-3180/paper-247.pdf (Access: Open)