3 datasets found
  1. W

    PAN-PC-10

    • webis.de
    3250123
    Updated 2010
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    Martin Potthast; Benno Stein; Andreas Eiselt (2010). PAN-PC-10 [Dataset]. http://doi.org/10.5281/zenodo.3250123
    Explore at:
    3250123Available download formats
    Dataset updated
    2010
    Dataset provided by
    The Web Technology & Information Systems Network
    University of Kassel, hessian.AI, and ScaDS.AI
    Bauhaus-Universität Weimar
    Authors
    Martin Potthast; Benno Stein; Andreas Eiselt
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This corpus is outdated. Please use its successor PAN-PC-11.

  2. o

    PAN Plagiarism Corpus 2010 (PAN-PC-10)

    • explore.openaire.eu
    • zenodo.org
    • +1more
    Updated May 1, 2010
    + more versions
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    Martin Potthast; Benno Stein; Andreas Eiselt; Alberto Barrón-Cedeño; Paolo Rosso (2010). PAN Plagiarism Corpus 2010 (PAN-PC-10) [Dataset]. http://doi.org/10.5281/zenodo.3250122
    Explore at:
    Dataset updated
    May 1, 2010
    Authors
    Martin Potthast; Benno Stein; Andreas Eiselt; Alberto Barrón-Cedeño; Paolo Rosso
    Description

    This corpus is outdated. Please use its successor PAN-PC-11: https://doi.org/10.5281/zenodo.3250095 The PAN plagiarism corpus 2010 (PAN-PC-10) is a corpus for the evaluation of automatic plagiarism detection algorithms. For research purposes the corpus can be used free of charge. The PAN-PC-10 contains documents in which artificial plagiarism has been inserted automatically as well as documents in which simulated plagiarism has been inserted manually. The former have been constructed using a so-called random plagiarist, a computer program which constructs plagiarism according to a number of parameters, while the latter have been obtained with crowdsourcing via Amazon's Mechanical Turk. {"references": ["Alberto Barr\u00f3n-Cede\u00f1o, Martin Potthast, Paolo Rosso, Benno Stein, and Andreas Eiselt. Corpus and Evaluation Measures for Automatic Plagiarism Detection. In Nicoletta Calzolari et al, editors, 7th Conference on International Language Resources and Evaluation (LREC 10), May 2010. European Language Resources Association (ELRA). ISBN 2-9517408-6-7."]}

  3. W

    Webis-CPC-11

    • webis.de
    3251771
    Updated 2011
    + more versions
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    Steven Burrows; Martin Potthast; Benno Stein (2011). Webis-CPC-11 [Dataset]. http://doi.org/10.5281/zenodo.3251771
    Explore at:
    3251771Available download formats
    Dataset updated
    2011
    Dataset provided by
    The Web Technology & Information Systems Network
    Computer Power Institute, Melbourne, Australia
    University of Kassel, hessian.AI, and ScaDS.AI
    Bauhaus-Universität Weimar
    Authors
    Steven Burrows; Martin Potthast; Benno Stein
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11) contains 7,859 candidate paraphrases obtained from Mechanical Turk crowdsourcing. The corpus is made up of 4,067 accepted paraphrases, 3,792 rejected non-paraphrases, and the original texts. These samples have formed part of PAN 2010 international plagiarism detection competition, but were not previously available separate to rest of the competition data.

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Share
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Click to copy link
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Close
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Martin Potthast; Benno Stein; Andreas Eiselt (2010). PAN-PC-10 [Dataset]. http://doi.org/10.5281/zenodo.3250123

PAN-PC-10

Explore at:
106 scholarly articles cite this dataset (View in Google Scholar)
3250123Available download formats
Dataset updated
2010
Dataset provided by
The Web Technology & Information Systems Network
University of Kassel, hessian.AI, and ScaDS.AI
Bauhaus-Universität Weimar
Authors
Martin Potthast; Benno Stein; Andreas Eiselt
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This corpus is outdated. Please use its successor PAN-PC-11.

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