Concepedia

Question Deduplication

Question Deduplication is a methodological approach within the broader domain of duplicate detection that specifically identifies and eliminates semantically equivalent questions in a corpus by leveraging linguistic and contextual similarity measures to distinguish them from non-duplicate or distantly related queries.

2

Publications

136

Citations

9

Authors

5

Institutions

Publications per year

2017–2026

2

Variants

Question De-duplication

Parents

Publications

2

1–2 of 2

Authors

9

  1. CJ
    Chen Jing

    Northeast Normal University, China

    1 publications · 119 citations

    1

    h-index

  2. SG
    Sparsh Gupta

    University of California San Diego, United States

    1 publications · 17 citations

    1

    h-index

  3. BT
    Buzhou Tang

    Harbin Institute of Technology, China

    1 publications · 119 citations

    1

    h-index

  4. VC
    Vı́tor Carvalho

    University of Minho, Portugal

    1 publications · 17 citations

    1

    h-index

  5. AK
    Anush Kamath

    University of California San Diego, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 9

Institutions

5

  1. Harbin Institute of Technology

    Harbin, China

    1 h-index

    4 publications

    476 citations

  2. University of California San Diego

    San Diego, United States

    1 h-index

    1 publications

    17 citations

  3. Riverbank Local Redevelopment Authority

    Modesto, United States

    1 h-index

    2 publications

    238 citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    1 publications

    17 citations

  5. Intuit (United States)

    Mountain View, United States

    1 h-index

    1 publications

    17 citations

1–5 of 5