Joint Linking

Joint Linking is a biomedical entity linking approach that simultaneously disambiguates and links multiple entities within a document by modeling their interdependencies, distinguishing it from sequential or independent linking methods through its integrated, holistic inference process.

12

Publications

994

Citations

42

Authors

22

Institutions

Publications per year

2017–2026

6

Authors

42

  1. XH
    Xiaojiang Huang

    Huazhong University of Science and Technology, China

    2 publications · 335 citations

    2

    h-index

  2. CL
    Chin-Yew Lin

    Microsoft Research Asia (China), China

    2 publications · 335 citations

    2

    h-index

  3. GL
    Gang Luo

    University of Washington Medical Center, United States

    2 publications · 335 citations

    2

    h-index

  4. ZN
    Zaiqing Nie

    Microsoft Research Asia (China), China

    2 publications · 335 citations

    2

    h-index

  5. GK
    Gjergji Kasneci

    University of Tübingen, Germany

    1 publications · 17 citations

    1

    h-index

1–5 of 42

Venues

  1. Neural Computing and Applications

    1 publications · 22 citations

    1

    h-index

  2. International Journal of Digital Curation

    IJDC · 1 publications · 12 citations

    1

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 12 citations

    1

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 1 publications · 10 citations

1–4