Automatic Claim Matching

Automatic Claim Matching is a computational method that identifies and links claims expressed in text to previously verified factual statements or knowledge bases, distinguishing itself from other fact extraction techniques by its focus on automated, large-scale alignment of unverified assertions with existing fact-checked content.

21

Publications

731

Citations

76

Authors

26

Institutions

Publications per year

2017–2026

17

Authors

76

  1. PN
    Preslav Nakov

    Sofia University "St. Kliment Ohridski", Bulgaria

    4 publications · 80 citations

    4

    h-index

  2. MB
    Mohit Bansal

    University of North Carolina at Chapel Hill, United States

    4 publications · 395 citations

    4

    h-index

  3. YN
    Yixin Nie

    University of North Carolina at Chapel Hill, United States

    3 publications · 300 citations

    3

    h-index

  4. MS
    Mohammed Saeed

    EURECOM, France

    2 publications · 43 citations

    2

    h-index

  5. PP
    Paolo Papotti

    EURECOM, France

    2 publications · 43 citations

    2

    h-index

1–5 of 76

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 43 citations

    2

    h-index

  2. CLEF (Working Notes)

    1 publications · 19 citations

    1

    h-index

  3. El Profesional de la Informacion

    IWE · 1 publications · 13 citations

    1

    h-index

  4. Oxford University Research Archive (ORA) (University of Oxford)

    Repository · 1 publications · 34 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 29 citations

    1

    h-index

1–5