Domain-specific Text Segmentation

Domain-Specific Text Segmentation is a text segmentation approach that partitions textual content into coherent segments based on linguistic and structural patterns unique to a particular subject area or domain, thereby distinguishing it from general-purpose segmentation methods by incorporating domain-specific knowledge, constraints, or vocabularies.

24

Publications

1.1K

Citations

84

Authors

39

Institutions

Publications per year

2017–2026

9

Authors

84

  1. ZX
    Zhong Xie

    China University of Geosciences, China

    3 publications · 106 citations

    3

    h-index

  2. WL
    Wenjia Li

    New York Institute of Technology, United States

    2 publications · 81 citations

    2

    h-index

  3. JL
    Jialu Liu

    University of Illinois Urbana-Champaign, United States

    2 publications · 323 citations

    2

    h-index

  4. QQ
    Qinjun Qiu

    China University of Geosciences, China

    2 publications · 88 citations

    2

    h-index

  5. JS
    Jingbo Shang

    University of Illinois Urbana-Champaign, United States

    2 publications · 323 citations

    2

    h-index

1–5 of 84

Venues

  1. Computers & Geosciences

    CAGEO · 2 publications · 92 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 121 citations

    2

    h-index

  3. Earth and Space Science

    1 publications · 18 citations

    1

    h-index

  4. International Conference on Computational Linguistics

    Conference · 1 publications · 15 citations

    1

    h-index

  5. Zhongwen xinxi xuebao

    1 publications · 17 citations

    1

    h-index

1–5