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Overview of Touché 2022: Argument Retrieval: Argument Retrieval: Extended Abstract

A. Bondarenko, M. Fröbe, J. Kiesel, S. Syed, T. Gurcke, M. Beloucif, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, and M. Hagen. Advances in Information Retrieval , page 339--346. Germany, Springer Science and Business Media Deutschland GmbH, (Apr 5, 2022)Funding Information: Acknowledgments. This work was partially supported by the Deutsche Forschungs-gemeinschaft (DFG) through the projects “ACQuA” and “ACQuA 2.0” (Answering Comparative Questions with Arguments; grants HA 5851/2-1, HA 5851/2-2, BI 1544/7-1, BI 1544/7-2) and “OASiS: Objective Argument Summarization in Search” (grant WA 4591/3-1), all part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999), and the German Ministry for Science and Education (BMBF) through the project “Shared Tasks as an Innovative Approach to Implement AI and Big Data-based Applications within Universities (SharKI)” (grant FKZ 16DHB4021). We are also grateful to Jan Heinrich Reimer for developing the TARGER Python library.; 44th European Conference on Information Retrieval, ECIR 2022 ; Conference date: 10-04-2022 Through 14-04-2022.

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.

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DOI:: 10.1007/978-3-030-99739-7_43
BibTeX key:: 8abf096d9cf44281978d6734f29a918e
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@inproceedings{8abf096d9cf44281978d6734f29a918e,
  abstract = {The goal of the Touch{\'e} lab on argument retrieval is to foster and support the development of technologies for argument mining and argument analysis. In the third edition of Touch{\'e}, 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 Touch{\'e} and describe the planned setup for the third edition at CLEF 2022.},
  added-at = {2023-03-17T13:41:21.000+0100},
  address = {Germany},
  author = {Bondarenko, Alexander and Fr{\"o}be, Maik and Kiesel, Johannes and Syed, Shahbaz and Gurcke, Timon and Beloucif, Meriem and Panchenko, Alexander and Biemann, Chris and Stein, Benno and Wachsmuth, Henning and Potthast, Martin and Hagen, Matthias},
  biburl = {https://www.bibsonomy.org/bibtex/27b1bf23d38582067920e34cc7a5ef62f/ail3s},
  booktitle = {Advances in Information Retrieval},
  day = 5,
  doi = {10.1007/978-3-030-99739-7_43},
  edition = {Part 2},
  editor = {Hagen, Matthias and Verberne, Suzan and Macdonald, Craig and Seifert, Christin and Balog, Krisztian and N{\o}rv{\aa}g, Kjetil and Setty, Vinay},
  interhash = {37186ccb952045001eede7926ffc9928},
  intrahash = {7b1bf23d38582067920e34cc7a5ef62f},
  isbn = {9783030997380},
  keywords = {leibnizailab myown nlp},
  language = {English},
  month = apr,
  note = {Funding Information: Acknowledgments. This work was partially supported by the Deutsche Forschungs-gemeinschaft (DFG) through the projects “ACQuA” and “ACQuA 2.0” (Answering Comparative Questions with Arguments; grants HA 5851/2-1, HA 5851/2-2, BI 1544/7-1, BI 1544/7-2) and “OASiS: Objective Argument Summarization in Search” (grant WA 4591/3-1), all part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999), and the German Ministry for Science and Education (BMBF) through the project “Shared Tasks as an Innovative Approach to Implement AI and Big Data-based Applications within Universities (SharKI)” (grant FKZ 16DHB4021). We are also grateful to Jan Heinrich Reimer for developing the TARGER Python library.; 44th European Conference on Information Retrieval, ECIR 2022 ; Conference date: 10-04-2022 Through 14-04-2022},
  pages = {339--346},
  publisher = {Springer Science and Business Media Deutschland GmbH},
  series = {Lecture Notes in Computer Science},
  timestamp = {2023-03-17T13:41:21.000+0100},
  title = {Overview of Touch{\'e} 2022: Argument Retrieval: Argument Retrieval: Extended Abstract},
  year = 2022
}

%0 Conference Paper
%1 8abf096d9cf44281978d6734f29a918e
%A Bondarenko, Alexander
%A Fröbe, Maik
%A Kiesel, Johannes
%A Syed, Shahbaz
%A Gurcke, Timon
%A Beloucif, Meriem
%A Panchenko, Alexander
%A Biemann, Chris
%A Stein, Benno
%A Wachsmuth, Henning
%A Potthast, Martin
%A Hagen, Matthias
%B Advances in Information Retrieval
%C Germany
%D 2022
%E Hagen, Matthias
%E Verberne, Suzan
%E Macdonald, Craig
%E Seifert, Christin
%E Balog, Krisztian
%E Nørv\aag, Kjetil
%E Setty, Vinay
%I Springer Science and Business Media Deutschland GmbH
%K leibnizailab myown nlp
%P 339--346
%R 10.1007/978-3-030-99739-7_43
%T Overview of Touché 2022: Argument Retrieval: Argument Retrieval: Extended Abstract
%X 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.
%7 Part 2
%@ 9783030997380

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Overview of Touché 2022: Argument Retrieval: Argument Retrieval: Extended Abstract

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