Drug Relation Extraction

Drug Relation Extraction is a natural language processing task that identifies and classifies semantic relationships between drug-related entities in textual data, distinguishing it from other information extraction tasks by its specific focus on pharmacological interactions, effects, and associations.

66

Publications

3.8K

Citations

234

Authors

112

Institutions

Publications per year

2017–2026

31

Authors

234

  1. RX
    Rong Xu

    Case Western Reserve University, United States

    4 publications · 158 citations

    4

    h-index

  2. IS
    Isabel Segura-Bédmar

    Universidad Carlos III de Madrid, Spain

    3 publications · 182 citations

    3

    h-index

  3. AD
    Alberto Díaz

    Universidad Complutense de Madrid, Spain

    3 publications · 74 citations

    3

    h-index

  4. BB
    Behrouz Bokharaeian

    Universidad Complutense de Madrid, Spain

    3 publications · 74 citations

    3

    h-index

  5. PM
    Paloma Martı́nez

    Universidad Carlos III de Madrid, Spain

    2 publications · 77 citations

    2

    h-index

1–5 of 234

Venues

  1. BMC Bioinformatics

    8 publications · 525 citations

    8

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 6 publications · 381 citations

    6

    h-index

  3. Journal of Biomedical Informatics

    3 publications · 185 citations

    3

    h-index

  4. Journal of Chemical Information and Modeling

    JCIM · 2 publications · 32 citations

    2

    h-index

  5. Cancer Informatics

    1 publications · 23 citations

    1

    h-index

1–5