Dataset Open Access

args.me corpus

Yamen Ajjour; Henning Wachsmuth; Johannes Kiesel; Martin Potthast; Matthias Hagen; Benno Stein

The args.me corpus (version 1.0, cleaned) comprises 382 545 arguments crawled from four debate portals in the middle of 2019. The debate portals are Debatewise, IDebate.org, Debatepedia, and Debate.org. The arguments are extracted using heuristics that are designed for each debate portal.

This version contains the same arguments as Version 1.0, but cleaned as described in the corresponding publication.

Cite args.me as Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 49-59, September 2017. Association for Computational Linguistics.

Cite this dataset as Yamen Ajjour, Henning Wachsmuth, Johannes Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. Data Acquisition for Argument Search: The args.me corpus. In 42nd German Conference on Artificial Intelligence (KI 2019), September 2019. Springer. and with the DOI of Zenodo.

Cite the cleaning procedure as TODO.

The development for args.me is hosted in our Gitlab.

This collection is licensed with the Creative Commons Attribution 4.0 International. Individual rights to the content still apply.

Files (236.8 MB)
Name Size
argsme-1.0-cleaned.zip
md5:fb0837103a4860e1d4536174f55b12c3 		236.8 MB Download

  • Yamen Ajjour, Henning Wachsmuth, Johannes Kiesel, Martin Potthast, Matthias Hagen, and Benno Stein. Data Acquisition for Argument Search: The args.me corpus. In 42nd German Conference on Artificial Intelligence (KI 2019), September 2019. Springer.

  • Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. Building an Argument Search Engine for the Web. In 4th Workshop on Argument Mining (ArgMining 2017) at EMNLP, pages 49-59, September 2017. Association for Computational Linguistics.

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Publication date:
October 27, 2020
DOI:
10.5281/zenodo.4139439

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10.5281/zenodo.4139439

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Keyword(s):
Computational Argumentation, Argument Search, Information Retrieval, Natural Language Processing
Meeting:
42nd German Conference on Artificial Intelligence (KI 2019), Kassel, Germany, 23-26th September 2019,
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1.0-cleaned 10.5281/zenodo.4139439 Oct 27, 2020
Version 2020-04-01 10.5281/zenodo.3734893 Apr 1, 2020
Version 1.0 10.5281/zenodo.3274636 Jul 9, 2019
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.3274635. This DOI represents all versions, and will always resolve to the latest one. Read more.

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