Semantic Duplicate Detection

Semantic Duplicate Detection is a methodological framework within duplicate detection that identifies instances of content reuse characterized by equivalent meaning despite lexical or syntactic variation.

38

Publications

1.2K

Citations

125

Authors

55

Institutions

Publications per year

2017–2026

16

Variants

Semantic Deduplication

Authors

125

  1. JH
    Jey Han Lau

    The University of Melbourne, Australia

    2 publications · 84 citations

    2

    h-index

  2. NO
    Nuria Oliver

    Telefonica Research and Development, Spain

    2 publications · 65 citations

    2

    h-index

  3. LX
    Ling Xu

    Chongqing University, China

    2 publications · 39 citations

    2

    h-index

  4. SC
    Shih‐Fu Chang

    Columbia University, United States

    2 publications · 92 citations

    2

    h-index

  5. ES
    Eleni Stroulia

    University of Alberta, Canada

    2 publications · 100 citations

    2

    h-index

1–5 of 125

Venues

  1. IEEE Access

    3 publications · 109 citations

    3

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 17 citations

    1

    h-index

  3. ePrints@Bangalore University (Bangalore University)

    Repository · 1 publications · 28 citations

    1

    h-index

  4. Computer Speech & Language

    1 publications · 11 citations

    1

    h-index

  5. Scientometrics

    1 publications · 41 citations

    1

    h-index

1–5