Neural Text Segmentation

Neural Text Segmentation is a text segmentation approach that employs neural network architectures to model and identify discourse boundaries by learning hierarchical representations of textual units from data.

70

Publications

3.6K

Citations

220

Authors

100

Institutions

Publications per year

2017–2026

47

Authors

220

  1. HZ
    Hai Zhao

    Shanghai Jiao Tong University, China

    5 publications · 327 citations

    5

    h-index

  2. DC
    Deng Cai

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 308 citations

    4

    h-index

  3. SH
    Shujian Huang

    Nanjing University, China

    2 publications · 62 citations

    2

    h-index

  4. AY
    Arianna Yuan

    Stanford University, United States

    2 publications · 151 citations

    2

    h-index

  5. JC
    Jiajun Chen

    Nanjing University, China

    2 publications · 62 citations

    2

    h-index

1–5 of 220

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 123 citations

    6

    h-index

  2. IEEE Access

    4 publications · 85 citations

    4

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 59 citations

    2

    h-index

  4. 2

    h-index

  5. Future Generation Computer Systems

    FGCS · 1 publications · 20 citations

    1

    h-index

1–5