Nested Named Entity Recognition

Nested Named Entity Recognition is a specialized form of named entity recognition that identifies and classifies entities which may contain other entities within their spans, thereby capturing hierarchical or embedded entity structures in text.

61

Publications

3.7K

Citations

202

Authors

80

Institutions

Publications per year

2017–2026

48

Variants

Layered Named Entity Recognition

Authors

202

  1. YC
    Yanping Chen

    Guizhou University, China

    5 publications · 113 citations

    5

    h-index

  2. QZ
    Qinghua Zheng

    Xi'an Jiaotong University, China

    4 publications · 91 citations

    4

    h-index

  3. RH
    Ruizhang Huang

    Guizhou University, China

    4 publications · 93 citations

    4

    h-index

  4. PC
    Ping Chen

    University of Massachusetts Boston, United States

    4 publications · 72 citations

    4

    h-index

  5. KT
    Kewei Tu

    ShanghaiTech University, China

    3 publications · 85 citations

    3

    h-index

1–5 of 202

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 245 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 37 citations

    3

    h-index

  3. 3

    h-index

  4. Neurocomputing

    3 publications · 72 citations

    3

    h-index

  5. 2

    h-index

1–5