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2 datasets found
  1. W

    Webis-TRC-12

    • webis.de
    • anthology.aicmu.ac.cn
    1341602
    Updated 2012
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    Martin Potthast; Matthias Hagen; Michael Völske; Benno Stein (2012). Webis-TRC-12 [Dataset]. http://doi.org/10.5281/zenodo.1341602
    Explore at:
    1341602Available download formats
    Dataset updated
    2012
    Dataset provided by
    Friedrich Schiller University Jena
    University of Kassel, hessian.AI, and ScaDS.AI
    Artefact Germany, Bauhaus-Universität Weimar
    The Web Technology & Information Systems Network
    Bauhaus-Universität Weimar
    Authors
    Martin Potthast; Matthias Hagen; Michael Völske; 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 Text Reuse Corpus 2012 (Webis-TRC-12) compiles manually written documents obtained from a completely controlled, yet representative environment that emulates the web. Each document in the corpus is about one of the 150 topics used at the TREC Web Tracks 2009?2011, thus forming a strong connection with existing evaluation efforts. Writers, hired at the crowdsourcing platform oDesk, had to retrieve sources for a given topic and to reuse text from what they found. Part of the corpus are detailed interaction logs that consistently cover the search for sources as well as the creation of documents. This will allow for in-depth analyses of how text is composed if a writer is at liberty to reuse texts from a third party.

  2. E

    Webis Text Reuse Corpus 2012

    • live.european-language-grid.eu
    • zenodo.org
    html
    Updated May 16, 2024
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    (2024). Webis Text Reuse Corpus 2012 [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7425
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 16, 2024
    License

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

    Description

    The Webis Text Reuse Corpus 2012 (Webis-TRC-12) compiles manually written documents obtained from a completely controlled, yet representative environment that emulates the web. Each document in the corpus is about one of the 150 topics used at the TREC Web Tracks 2009–2011, thus forming a strong connection with existing evaluation efforts. Writers, hired at the crowdsourcing platform oDesk, had to retrieve sources for a given topic and to reuse text from what they found. Part of the corpus are detailed interaction logs that consistently cover the search for sources as well as the creation of documents. This will allow for in-depth analyses of how text is composed if a writer is at liberty to reuse texts from a third party.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Martin Potthast; Matthias Hagen; Michael Völske; Benno Stein (2012). Webis-TRC-12 [Dataset]. http://doi.org/10.5281/zenodo.1341602

Webis-TRC-12

Explore at:
24 scholarly articles cite this dataset (View in Google Scholar)
1341602Available download formats
Dataset updated
2012
Dataset provided by
Friedrich Schiller University Jena
University of Kassel, hessian.AI, and ScaDS.AI
Artefact Germany, Bauhaus-Universität Weimar
The Web Technology & Information Systems Network
Bauhaus-Universität Weimar
Authors
Martin Potthast; Matthias Hagen; Michael Völske; 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 Text Reuse Corpus 2012 (Webis-TRC-12) compiles manually written documents obtained from a completely controlled, yet representative environment that emulates the web. Each document in the corpus is about one of the 150 topics used at the TREC Web Tracks 2009?2011, thus forming a strong connection with existing evaluation efforts. Writers, hired at the crowdsourcing platform oDesk, had to retrieve sources for a given topic and to reuse text from what they found. Part of the corpus are detailed interaction logs that consistently cover the search for sources as well as the creation of documents. This will allow for in-depth analyses of how text is composed if a writer is at liberty to reuse texts from a third party.