Named Entity Recognition

Named Entity Recognition is a natural language processing task that identifies and classifies named entities in text into predefined categories such as persons, organizations, locations, or biomedical terms.

8.2K

Publications

551.5K

Citations

18.8K

Authors

3.1K

Institutions

Publications per year

2017–2026

3.8K

Authors

18.8K

  1. HX
    Hua Xu

    The University of Texas Health Science Center at Houston, United States

    55 publications · 4.5K citations

    36

    h-index

  2. CD
    Christopher D. Manning

    Stanford University, United States

    46 publications · 40.9K citations

    31

    h-index

  3. DR
    Dan Roth

    University of Illinois Urbana-Champaign, United States

    53 publications · 4.7K citations

    30

    h-index

  4. JT
    Jun’ichi Tsujii

    The University of Tokyo, Japan

    50 publications · 4.3K citations

    30

    h-index

  5. AM
    Andrew McCallum

    University of Massachusetts Amherst, United States

    41 publications · 5K citations

    30

    h-index

1–5 of 18.8K

Venues

  1. arXiv (Cornell University)

    Repository · 427 publications · 24.3K citations

    67

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 121 publications · 9.5K citations

    48

    h-index

  3. BMC Bioinformatics

    103 publications · 6.9K citations

    46

    h-index

  4. Journal of Biomedical Informatics

    92 publications · 5.7K citations

    44

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 72 publications · 8.7K citations

    43

    h-index

1–5