Document Deduplication

Document Deduplication is a data curation process that identifies and removes redundant or duplicate document instances within a dataset while preserving a single canonical representation, distinguishing it from other data preprocessing methods by its exclusive focus on eliminating verbatim or near-identical document-level repetitions.

7

Publications

243

Citations

37

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

37

  1. HJ
    Heidrun Janka

    HES-SO Genève, Switzerland

    1 publications · 105 citations

    1

    h-index

  2. MP
    Martin Potthast

    Bauhaus-Universität Weimar, Germany

    1 publications · 19 citations

    1

    h-index

  3. LA
    Lucas Anastasiou

    The Open University, United Kingdom

    1 publications · 10 citations

    1

    h-index

  4. BM
    Beatrice Minder

    University of Bern, Switzerland

    1 publications · 105 citations

    1

    h-index

  5. DT
    Douglas Teodoro

    University of Geneva, Switzerland

    1 publications · 105 citations

    1

    h-index

1–5 of 37

Venues

  1. Systematic Reviews

    1 publications · 105 citations

    1

    h-index

  2. Open Research Online (The Open University)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Database

    1 publications · 40 citations

    1

    h-index

  4. Information Processing & Management

    1 publications · 25 citations

    1

    h-index

  5. Frontiers in Drug Safety and Regulation

    1 publications · 14 citations

1–5