Flat Named Entity Recognition

Flat Named Entity Recognition is a type of named entity recognition task that identifies and classifies entities in text as non-overlapping, independent spans without hierarchical or nested structure.

20

Publications

2.4K

Citations

73

Authors

28

Institutions

Publications per year

2017–2026

20

Authors

73

  1. QH
    Qinghong Han

    Shannon Applied Biotechnology Centre, Ireland

    2 publications · 673 citations

    2

    h-index

  2. XH
    Xuanjing Huang

    Fudan University, China

    2 publications · 441 citations

    2

    h-index

  3. XL
    Xiaoya Li

    Zhejiang University, China

    2 publications · 673 citations

    2

    h-index

  4. JF
    Jingrong Feng

    The People's Hospital of Guangxi Zhuang Autonomous Region, China

    2 publications · 673 citations

    2

    h-index

  5. XQ
    Xipeng Qiu

    Fudan University, China

    2 publications · 441 citations

    2

    h-index

1–5 of 73

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 167 citations

    5

    h-index

  2. 2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 19 citations

    1

    h-index

  4. Applied Sciences

    1 publications · 38 citations

    1

    h-index

  5. 1

    h-index

1–5