Distributed Text Representations

Distributed Text Representations is a text representation model that encodes linguistic units as dense, continuous vectors in a low-dimensional space, where the meaning of words or texts is captured through distributed patterns of activation across multiple dimensions rather than discrete symbolic forms.

261

Publications

25.4K

Citations

748

Authors

266

Institutions

Publications per year

2017–2026

111

Variants

Distributed Text Representation

Authors

748

  1. KM
    Karl Moritz Hermann

    University of Oxford, United Kingdom

    7 publications · 655 citations

    7

    h-index

  2. PB
    Phil Blunsom

    University of Oxford, United Kingdom

    5 publications · 238 citations

    5

    h-index

  3. ME
    Muhammad Ebraheem

    Nanyang Technological University, Singapore

    4 publications · 491 citations

    4

    h-index

  4. IT
    Ivan Titov

    University of Amsterdam, Netherlands

    4 publications · 472 citations

    4

    h-index

  5. HZ
    Hai Zhao

    Shanghai Jiao Tong University, China

    4 publications · 260 citations

    4

    h-index

1–5 of 748

Venues

  1. arXiv (Cornell University)

    Repository · 51 publications · 10.8K citations

    27

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 319 citations

    8

    h-index

  3. Cognitive Science

    7 publications · 601 citations

    7

    h-index

  4. IEEE Access

    4 publications · 147 citations

    4

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 78 citations

    3

    h-index

1–5