Rule-based Text Segmentation

Rule-Based Text Segmentation is a text segmentation approach that relies on predefined linguistic or structural heuristics to partition text into coherent units.

68

Publications

2.5K

Citations

169

Authors

70

Institutions

Publications per year

2017–2026

6

Authors

169

  1. KD
    Kaustubh Deshmukh

    University of Washington, United States

    2 publications · 267 citations

    2

    h-index

  2. SS
    Sunita Sarawagi

    Indian Institute of Technology Bombay, India

    2 publications · 267 citations

    2

    h-index

  3. CP
    Charuta Pethe

    Stony Brook University, United States

    2 publications · 44 citations

    2

    h-index

  4. VB
    Vinayak Borkar

    University of California, Irvine, United States

    2 publications · 267 citations

    2

    h-index

  5. KC
    Keh-Jiann Chen

    Institute of Information Science, Academia Sinica, Taiwan

    2 publications · 126 citations

    2

    h-index

1–5 of 169

Venues

  1. Journal of Information Science

    JIS · 1 publications · 33 citations

    1

    h-index

  2. Proceedings of the IEEE Symposium on Emerging Technologies, 2005.

    Conference · 1 publications · 34 citations

    1

    h-index

  3. ACM SIGMOD Record

    1 publications · 53 citations

    1

    h-index

  4. 1

    h-index

  5. Pattern Recognition

    1 publications · 60 citations

    1

    h-index

1–5