2 datasets found
  1. Z

    PAN13 Originality: Text Alignment

    • data.niaid.nih.gov
    • zenodo.org
    Updated Oct 30, 2023
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    Gollub, Tim (2023). PAN13 Originality: Text Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3715979
    Explore at:
    Dataset updated
    Oct 30, 2023
    Dataset provided by
    Stein, Benno
    Rosso, Paolo
    Potthast, Martin
    Stamatatos, Efstathios
    Kiesel, Johannes
    Tippmann, Martin
    Hagen, Matthias
    Gollub, Tim
    Description

    We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text resued from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused.

  2. Z

    PAN12 Originality: Text-Alignment

    • data.niaid.nih.gov
    • zenodo.org
    Updated Apr 21, 2020
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    Graßegger, Jan (2020). PAN12 Originality: Text-Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3715851
    Explore at:
    Dataset updated
    Apr 21, 2020
    Dataset provided by
    Stein, Benno
    Oberländer, Arnd
    Gupta, Parth
    Rosso, Paolo
    Potthast, Martin
    Kiesel, Johannes
    Barrón-Cedeño, Alberto
    Tippmann, Martin
    Hagen, Matthias
    Graßegger, Jan
    Michel, Maximilian
    Gollub, Tim
    Description

    We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text resued from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Gollub, Tim (2023). PAN13 Originality: Text Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3715979

PAN13 Originality: Text Alignment

Explore at:
Dataset updated
Oct 30, 2023
Dataset provided by
Stein, Benno
Rosso, Paolo
Potthast, Martin
Stamatatos, Efstathios
Kiesel, Johannes
Tippmann, Martin
Hagen, Matthias
Gollub, Tim
Description

We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text resued from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused.

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