Passage Segmentation

Passage Segmentation is the academic concept of a method that partitions a document into coherent, contextually meaningful units or segments to facilitate targeted information retrieval, distinguished from other passage-level techniques by its focus on identifying structurally and semantically self-contained regions within text for improved retrieval accuracy.

33

Publications

3.2K

Citations

74

Authors

31

Institutions

Publications per year

2017–2026

3

Authors

74

  1. MA
    Marti A. Hearst

    University of California, Berkeley, United States

    4 publications · 2.2K citations

    4

    h-index

  2. KS
    K. Selçuk Candan

    Arizona State University, United States

    2 publications · 67 citations

    2

    h-index

  3. CL
    Charles L. A. Clarke

    University of Waterloo, Canada

    2 publications · 104 citations

    2

    h-index

  4. GV
    Gordon V. Cormack

    University of Waterloo, Canada

    2 publications · 104 citations

    2

    h-index

  5. JT
    Jörg Tiedemann

    Uppsala University, Sweden

    2 publications · 26 citations

    2

    h-index

1–5 of 74

Venues

  1. Text REtrieval Conference

    Conference · 2 publications · 40 citations

    2

    h-index

  2. Autonomous Robots

    1 publications · 47 citations

    1

    h-index

  3. Information Processing & Management

    1 publications · 29 citations

    1

    h-index

  4. Journal of Learning Disabilities

    JLD · 1 publications · 54 citations

    1

    h-index

  5. ArXiv.org

    Repository · 1 publications · 392 citations

    1

    h-index

1–5