Entity Linking Evaluation

Entity Linking Evaluation is a scholarly assessment methodology that systematically measures the accuracy and effectiveness of entity linking systems in mapping biomedical mentions to standardized knowledge base entries within the domain of biomedical natural language processing.

76

Publications

4.1K

Citations

260

Authors

100

Institutions

Publications per year

2017–2026

36

Authors

260

  1. JM
    James Mayfield

    University of Maryland, Baltimore County, United States

    3 publications · 91 citations

    3

    h-index

  2. PM
    Paul McNamee

    University of Aberdeen, United Kingdom

    3 publications · 91 citations

    3

    h-index

  3. DR
    Dan Roth

    University of Illinois Urbana-Champaign, United States

    3 publications · 340 citations

    3

    h-index

  4. DW
    Douglas W. Oard

    University of Maryland, College Park, United States

    3 publications · 91 citations

    3

    h-index

  5. ZC
    Zheng Chen

    Microsoft Research Asia (China), China

    2 publications · 80 citations

    2

    h-index

1–5 of 260

Venues

  1. Theory and applications of categories

    TAC · 8 publications · 241 citations

    7

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 135 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 82 citations

    3

    h-index

  4. IRIS Research product catalog (Sapienza University of Rome)

    Repository · 1 publications · 26 citations

    1

    h-index

  5. 1

    h-index

1–5