2 datasets found
  1. o

    Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11)

    • explore.openaire.eu
    • live.european-language-grid.eu
    • +1more
    Updated Jun 1, 2013
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    Steven Burrows; Martin Potthast; Benno Stein; Andreas Eiselt (2013). Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11) [Dataset]. http://doi.org/10.5281/zenodo.3251771
    Explore at:
    Dataset updated
    Jun 1, 2013
    Authors
    Steven Burrows; Martin Potthast; Benno Stein; Andreas Eiselt
    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. We provide the dataset as a single folder in a Zip archive. Each paraphrase is represented by three files, containing the original text (e.g.: "1-original.txt"), the paraphrase text (e.g.: "1-paraphrase.txt"), and a file containing metadata (e.g.: "1-metadata.txt"), with information about the task identifier, task author identifier, time taken, and whether the paraphrase was accepted or rejected. {"references": ["teven Burrows, Martin Potthast, and Benno Stein. Paraphrase Acquisition via Crowdsourcing and Machine Learning. Transactions on Intelligent Systems and Technology (ACM TIST), 4 (3) : 43:1-43:21, June 2013"]}

  2. W

    Webis-CPC-11

    • webis.de
    3251771
    Updated 2011
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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
    University of Kassel, hessian.AI, and ScaDS.AI
    Computer Power Institute, Melbourne, Australia
    Bauhaus-Universität Weimar
    The Web Technology & Information Systems Network
    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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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Steven Burrows; Martin Potthast; Benno Stein; Andreas Eiselt (2013). Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11) [Dataset]. http://doi.org/10.5281/zenodo.3251771

Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11)

Explore at:
22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 1, 2013
Authors
Steven Burrows; Martin Potthast; Benno Stein; Andreas Eiselt
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. We provide the dataset as a single folder in a Zip archive. Each paraphrase is represented by three files, containing the original text (e.g.: "1-original.txt"), the paraphrase text (e.g.: "1-paraphrase.txt"), and a file containing metadata (e.g.: "1-metadata.txt"), with information about the task identifier, task author identifier, time taken, and whether the paraphrase was accepted or rejected. {"references": ["teven Burrows, Martin Potthast, and Benno Stein. Paraphrase Acquisition via Crowdsourcing and Machine Learning. Transactions on Intelligent Systems and Technology (ACM TIST), 4 (3) : 43:1-43:21, June 2013"]}

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