Knowledge-based Coreference Resolution

Knowledge-Based Coreference Resolution is a coreference resolution approach that belongs to the class of knowledge-driven natural language processing methods and is distinguished by its reliance on external linguistic or encyclopedic knowledge sources, such as ontologies, knowledge bases, or handcrafted rules, to resolve referential dependencies among mentions in text.

60

Publications

3.4K

Citations

156

Authors

56

Institutions

Publications per year

2017–2026

11

Authors

156

  1. RM
    Ruslan Mitkov

    University of Wolverhampton, United Kingdom

    5 publications · 487 citations

    5

    h-index

  2. VN
    Vincent Ng

    The University of Texas at Dallas, United States

    5 publications · 390 citations

    5

    h-index

  3. VN
    Vincent Ng

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 176 citations

    4

    h-index

  4. SP
    Simone Paolo Ponzetto

    University of Mannheim, Germany

    3 publications · 547 citations

    3

    h-index

  5. SM
    Sanda M. Harabagiu

    The University of Texas at Dallas, United States

    3 publications · 137 citations

    3

    h-index

1–5 of 156

Venues

  1. Computational Linguistics

    3 publications · 478 citations

    3

    h-index

  2. ScholarWorks@UMassAmherst (University of Massachusetts Amherst)

    Repository · 2 publications · 46 citations

    2

    h-index

  3. Maryland Shared Open Access Repository (USMAI Consortium)

    Repository · 2 publications · 63 citations

    2

    h-index

  4. International Joint Conference on Artificial Intelligence

    Conference · 2 publications · 160 citations

    2

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 40 citations

    2

    h-index

1–5