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Overview of Touché 2020: Argument Retrieval

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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2020)

Abstract

This paper is a condensed report on Touché: the first shared task on argument retrieval that was held at CLEF 2020. With the goal to create a collaborative platform for research in argument retrieval, we run two tasks: (1) supporting individuals in finding arguments on socially important topics and (2) supporting individuals with arguments on everyday personal decisions.

Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CLEF 2020, 22–25 September 2020, Thessaloniki, Greece.

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Notes

  1. 1.

    The name of the lab is inspired by the usage of the term “touché” as an exclamation “used to admit that someone has made a good point against you in an argument or discussion.” [https://dictionary.cambridge.org/dictionary/english/touche].

  2. 2.

    https://www.research.ibm.com/artificial-intelligence/project-debater/.

  3. 3.

    http://commoncrawl.org.

  4. 4.

    https://www.args.me/api-en.html.

  5. 5.

    https://webis.de/data/args-me-corpus.html.

  6. 6.

    https://pypi.org/project/trectools/.

  7. 7.

    https://lemurproject.org/clueweb12/.

  8. 8.

    https://www.chatnoir.eu/.

  9. 9.

    https://www.chatnoir.eu/doc/.

  10. 10.

    Also described on the lab website: https://touche.webis.de.

  11. 11.

    https://www.mywot.com/developers.

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Acknowledgments

This work was supported by the DFG through the project “ACQuA: Answering Comparative Questions with Arguments” (grants BI 1544/7-1 and HA 5851/2-1) as part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999).

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Bondarenko, A. et al. (2020). Overview of Touché 2020: Argument Retrieval. In: Arampatzis, A., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2020. Lecture Notes in Computer Science(), vol 12260. Springer, Cham. https://doi.org/10.1007/978-3-030-58219-7_26

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  • DOI: https://doi.org/10.1007/978-3-030-58219-7_26

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