Zero-shot Named Entity Recognition

Zero-Shot Named Entity Recognition is a named entity recognition framework that identifies and classifies entity mentions in text without requiring labeled training examples for the target entity types, distinguishing it from supervised and few-shot approaches by leveraging transferable knowledge or semantic representations.

29

Publications

1.6K

Citations

132

Authors

37

Institutions

Publications per year

2017–2026

28

Variants

Zero-shot Ner

Authors

132

  1. XP
    Xueqing Peng

    Fudan University, China

    3 publications · 444 citations

    3

    h-index

  2. HX
    Hua Xu

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

    3 publications · 444 citations

    3

    h-index

  3. ZL
    Zhiyong Lu

    National Center for Biotechnology Information, United States

    2 publications · 377 citations

    2

    h-index

  4. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    2 publications · 134 citations

    2

    h-index

  5. QC
    Qingyu Chen

    National Institutes of Health, United States

    2 publications · 377 citations

    2

    h-index

1–5 of 132

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 402 citations

    10

    h-index

  2. 1

    h-index

  3. International Conference on Computational Linguistics

    Conference · 1 publications · 118 citations

    1

    h-index

  4. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 285 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 92 citations

    1

    h-index

1–5