Text Boundary Detection

Text Boundary Detection is a computational method in natural language processing that identifies the precise locations where segments of text begin and end, distinguishing itself from related segmentation tasks by focusing specifically on demarcating boundaries between coherent units of discourse or syntax.

241

Publications

16.1K

Citations

697

Authors

262

Institutions

Publications per year

2017–2026

76

Authors

697

  1. PS
    Palaiahnakote Shivakumara

    University of Malaya, Malaysia

    14 publications · 608 citations

    13

    h-index

  2. UP
    Umapada Pal

    Indian Statistical Institute, India

    8 publications · 257 citations

    8

    h-index

  3. CL
    Chew Lim Tan

    National University of Singapore, Singapore

    8 publications · 944 citations

    8

    h-index

  4. TL
    Tong Lü

    Nanjing University, China

    8 publications · 187 citations

    8

    h-index

  5. CL
    Cheng‐Lin Liu

    Chinese Academy of Sciences, China

    5 publications · 842 citations

    5

    h-index

1–5 of 697

Venues

  1. Pattern Recognition

    12 publications · 1K citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 164 citations

    9

    h-index

  3. Neurocomputing

    6 publications · 196 citations

    6

    h-index

  4. Multimedia Tools and Applications

    5 publications · 134 citations

    5

    h-index

  5. 5

    h-index

1–5