Concepedia

Cross-domain Entity Linking

Cross-Domain Entity Linking is a biomedical entity linking task that involves mapping mentions of entities in text to a knowledge base across different domains, distinguished by its focus on generalization and performance consistency when applied to domains distinct from the training data.

4

Publications

346

Citations

10

Authors

7

Institutions

Publications per year

2017–2026

2

Parents

Publications

4

1–4 of 4

Authors

10

  1. DR
    Dan Roth

    University of Illinois Urbana-Champaign, United States

    2 publications · 291 citations

    2

    h-index

  2. AK
    Anna Korhonen

    University of Cambridge, United Kingdom

    1 publications · 41 citations

    1

    h-index

  3. FL
    Fangyu Liu

    University of Cambridge, United Kingdom

    1 publications · 41 citations

    1

    h-index

  4. LR
    Lev Ratinov

    University of Illinois Urbana-Champaign, United States

    1 publications · 49 citations

    1

    h-index

  5. MS
    Michael Schuhmacher

    University of Mannheim, Germany

    1 publications · 14 citations

    1

    h-index

1–5 of 10

Institutions

7

  1. University of California, Irvine

    Irvine, United States

    1 h-index

    3 publications

    726 citations

  2. University of Cambridge

    Cambridge, United Kingdom

    1 h-index

    4 publications

    164 citations

  3. University of Pennsylvania

    Philadelphia, United States

    1 h-index

    3 publications

    726 citations

  4. Google (United States)

    Mountain View, United States

    1 h-index

    1 publications

    49 citations

  5. University of Illinois Urbana-Champaign

    Urbana, United States

    1 h-index

    1 publications

    49 citations

  6. Language Science (South Korea)

    Seongnam-si, South Korea

    1 h-index

    4 publications

    164 citations

  7. University of Mannheim

    Mannheim, Germany

    1 h-index

    2 publications

    28 citations

1–7 of 7