Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | CLEF 2022 Working Notes |
| Untertitel | Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum |
| Seiten | 2867-2903 |
| Seitenumfang | 37 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Extern publiziert | Ja |
| Veranstaltung | 2022 Conference and Labs of the Evaluation Forum, CLEF 2022 - Bologna, Italien Dauer: 5 Sept. 2022 → 8 Sept. 2022 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 3180 |
| ISSN (Print) | 1613-0073 |
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.
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- Allgemeine Computerwissenschaft
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CLEF 2022 Working Notes: Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum. 2022. S. 2867-2903 (CEUR Workshop Proceedings; Band 3180).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Overview of Touché 2022
T2 - 2022 Conference and Labs of the Evaluation Forum, CLEF 2022
AU - Bondarenko, Alexander
AU - Fröbe, Maik
AU - Kiesel, Johannes
AU - Syed, Shahbaz
AU - Gurcke, Timon
AU - Beloucif, Meriem
AU - Panchenko, Alexander
AU - Biemann, Chris
AU - Stein, Benno
AU - Wachsmuth, Henning
AU - Potthast, Martin
AU - Hagen, Matthias
N1 - Funding Information: This work was partially supported by the Deutsche Forschungsgemeinschaft (DFG) through the projects “ACQuA 2.0” (Answering Comparative Questions with Arguments; project number 376430233) and “OASiS” (Objective Argument Summarization in Search; project number 455913891) as part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999), and the German Ministry for Science and Education (BMBF) through the project “SharKI” (Shared Tasks as an Innovative Approach to Implement AI and Big Data-based Applications within Universities; grant FKZ 16DHB4021). We are also grateful to Jan Heinrich Reimer for developing the TARGER Python library and Erik Reuter for expanding a document collection for Task 2 with docT5query.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Argument retrieval
KW - Comparative questions
KW - Controversial questions
KW - Image retrieval
KW - Shared task
UR - http://www.scopus.com/inward/record.url?scp=85136998899&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85136998899
T3 - CEUR Workshop Proceedings
SP - 2867
EP - 2903
BT - CLEF 2022 Working Notes
Y2 - 5 September 2022 through 8 September 2022
ER -