Entity Span Detection

Entity Span Detection is a fundamental subtask within Named Entity Recognition that identifies the precise boundaries of contiguous text segments corresponding to named entities, distinguishing it from entity classification by focusing exclusively on locating the span of entity mentions rather than their semantic types.

23

Publications

1.7K

Citations

86

Authors

28

Institutions

Publications per year

2017–2026

22

Authors

86

  1. AS
    Amy Shah

    University of Washington, United States

    2 publications · 355 citations

    2

    h-index

  2. YW
    Yu Wu

    Microsoft Research Asia (China), China

    2 publications · 315 citations

    2

    h-index

  3. YL
    Yi Luan

    University of Washington, United States

    2 publications · 355 citations

    2

    h-index

  4. YZ
    Yue Zhang

    Westlake University, China

    2 publications · 315 citations

    2

    h-index

  5. LC
    Leyang Cui

    Westlake University, China

    2 publications · 315 citations

    2

    h-index

1–5 of 86

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 140 citations

    6

    h-index

  2. Knowledge-Based Systems

    1 publications · 29 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 52 citations

    1

    h-index

1–5