End-to-end Entity Linking

End-To-End Entity Linking is a biomedical entity linking framework that integrates mention detection and entity disambiguation into a single unified model, eliminating the need for separate, modular processing stages.

17

Publications

744

Citations

63

Authors

29

Institutions

Publications per year

2017–2026

14

Authors

63

  1. TH
    Thomas Hofmann

    Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Germany

    2 publications · 250 citations

    2

    h-index

  2. OG
    Octavian-Eugen Ganea

    ETH Zurich, Switzerland

    2 publications · 250 citations

    2

    h-index

  3. NK
    Nikolaos Kolitsas

    ETH Zurich, Switzerland

    2 publications · 250 citations

    2

    h-index

  4. TF
    Thibault Févry

    New York University, United States

    2 publications · 32 citations

    2

    h-index

  5. LB
    Livio Baldini Soares

    Google (United States), United States

    2 publications · 32 citations

    2

    h-index

1–5 of 63

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 65 citations

    5

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 13 citations

    1

    h-index

  3. Machine Learning

    1 publications · 34 citations

    1

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 24 citations

    1

    h-index

  5. The Web Conference

    Conference · 1 publications · 14 citations

    1

    h-index

1–5