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 contribution
- Pages
- 2867-2903
- No. of pages
- 37
- Publication date
- 2022
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- General Computer Science
- Electronic version(s)
-
https://ceur-ws.org/Vol-3180/paper-247.pdf (Access:
Open)