4 datasets found
  1. Z

    Alvi15 Originality: Text Alignment

    • data.niaid.nih.gov
    • zenodo.org
    Updated Apr 21, 2020
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    Stevenson, Mark (2020). Alvi15 Originality: Text Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3712691
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    Dataset updated
    Apr 21, 2020
    Dataset provided by
    Stevenson, Mark
    Clough, Paul
    Alvi, Faisal
    Description

    We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text reused from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused. Enclosed in the evaluation corpora, a file named pairs is found, which lists all pairs of suspicious documents and source documents.

  2. Z

    Kong15 Originality: Text Alignment

    • data.niaid.nih.gov
    Updated Apr 21, 2020
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    Kong, Leilei (2020). Kong15 Originality: Text Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_3712728
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    Dataset updated
    Apr 21, 2020
    Dataset provided by
    Han, Yong
    Lu, Zhimao
    Kong, Leilei
    Wang, Qibo
    Han, Zhongyuan
    Zhang, Jing
    Qi, Haoliang
    Hao, Zhenyuan
    Description

    We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text reused from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused. Enclosed in the evaluation corpora, a file named pairs is found, which lists all pairs of suspicious documents and source documents.

  3. Hanif15 Originality: Text Alignment

    • zenodo.org
    • data.niaid.nih.gov
    Updated Apr 21, 2020
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    Israr Hanif; Adeel Nawab; Affifa Arbab; Huma Jamshed; Sara Riaz; Ehsan Munir; Israr Hanif; Adeel Nawab; Affifa Arbab; Huma Jamshed; Sara Riaz; Ehsan Munir (2020). Hanif15 Originality: Text Alignment [Dataset]. http://doi.org/10.5281/zenodo.3712719
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    Dataset updated
    Apr 21, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Israr Hanif; Adeel Nawab; Affifa Arbab; Huma Jamshed; Sara Riaz; Ehsan Munir; Israr Hanif; Adeel Nawab; Affifa Arbab; Huma Jamshed; Sara Riaz; Ehsan Munir
    Description

    We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text reused from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused. Enclosed in the evaluation corpora, a file named pairs is found, which lists all pairs of suspicious documents and source documents.

  4. Z

    Mohtaij15 Originality: Text Alignment

    • data.niaid.nih.gov
    Updated Apr 21, 2020
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    Mohtaj, Salar (2020). Mohtaij15 Originality: Text Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3712732
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    Dataset updated
    Apr 21, 2020
    Dataset provided by
    Asghari, Habibollah
    Zarrabi, Vahid
    Mohtaj, Salar
    Description

    We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text reused from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused. Enclosed in the evaluation corpora, a file named pairs is found, which lists all pairs of suspicious documents and source documents.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Stevenson, Mark (2020). Alvi15 Originality: Text Alignment [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3712691

Alvi15 Originality: Text Alignment

Explore at:
Dataset updated
Apr 21, 2020
Dataset provided by
Stevenson, Mark
Clough, Paul
Alvi, Faisal
Description

We provide you with a training corpus that consists of pairs of documents, one of which may contain passages of text reused from the other. The reused text is subject to various kinds of (automatic) obfuscation to hide the fact it has been reused. Enclosed in the evaluation corpora, a file named pairs is found, which lists all pairs of suspicious documents and source documents.

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