Segment Boundary Detection

Segment Boundary Detection is a computational method that identifies the precise locations of transitions between coherent text units within a document by analyzing linguistic cues and structural patterns to demarcate meaningful segments.

296

Publications

18.5K

Citations

835

Authors

329

Institutions

Publications per year

2017–2026

54

Authors

835

  1. UP
    Umapada Pal

    Indian Statistical Institute, India

    7 publications · 292 citations

    7

    h-index

  2. PS
    Palaiahnakote Shivakumara

    University of Malaya, Malaysia

    7 publications · 255 citations

    7

    h-index

  3. CL
    Chew Lim Tan

    National University of Singapore, Singapore

    4 publications · 191 citations

    4

    h-index

  4. BG
    Basilis Gatos

    National Centre of Scientific Research "Demokritos", Greece

    4 publications · 452 citations

    4

    h-index

  5. MN
    Mita Nasipuri

    Jadavpur University, India

    4 publications · 70 citations

    4

    h-index

1–5 of 835

Venues

  1. Pattern Recognition

    18 publications · 1.4K citations

    15

    h-index

  2. 11

    h-index

  3. Pattern Recognition Letters

    9 publications · 213 citations

    9

    h-index

  4. 7

    h-index

  5. Multimedia Tools and Applications

    4 publications · 112 citations

    5

    h-index

1–5