Hierarchical Text Segmentation

Hierarchical Text Segmentation is a text segmentation approach that organizes text into a tree-structured hierarchy of units, where higher levels represent broader segments and lower levels capture finer-grained divisions, thereby distinguishing it from flat segmentation methods by explicitly modeling nested discourse structure.

39

Publications

1.4K

Citations

110

Authors

60

Institutions

Publications per year

2017–2026

7

Authors

110

  1. LC
    Lee‐Feng Chien

    Institute of Information Science, Academia Sinica, Taiwan

    2 publications · 125 citations

    2

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  2. SC
    Shui‐Lung Chuang

    Institute of Information Science, Academia Sinica, Taiwan

    2 publications · 125 citations

    2

    h-index

  3. LG
    Lluís Gómez

    Universitat Autònoma de Barcelona, Spain

    2 publications · 50 citations

    2

    h-index

  4. DK
    Dìmosthenis Karatzas

    Universitat Autònoma de Barcelona, Spain

    2 publications · 50 citations

    2

    h-index

  5. AD
    Adrien Delaye

    Université Européenne de Bretagne, France

    1 publications · 18 citations

    1

    h-index

1–5 of 110

Venues

  1. 2

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  2. arXiv (Cornell University)

    Repository · 2 publications · 93 citations

    2

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  3. 1

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  4. Dialogue & Discourse

    1 publications · 212 citations

    1

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  5. Applied Soft Computing

    1 publications · 13 citations

    1

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1–5