Overview of Touché 2022: Argument Retrieval

Argument Retrieval: Extended Abstract

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

The goal of the Touché lab on argument retrieval is to foster and support the development of technologies for argument mining and argument analysis. In the third edition of Touché, we organize three shared tasks: (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. In this paper, we briefly summarize the results of two years of organizing Touché and describe the planned setup for the third edition at CLEF 2022.

Externe Organisation(en)

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

Typ

Aufsatz in Konferenzband

Seiten

339-346

Anzahl der Seiten

8

Publikationsdatum

05.04.2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Theoretische Informatik, Informatik (insg.)

Elektronische Version(en)

https://doi.org/10.1007/978-3-030-99739-7_43 (Zugang: Geschlossen)