Large-scale Natural Language Processing

Large-Scale Natural Language Processing is a specialized subfield of natural language processing that focuses on the development and application of computational methods capable of analyzing, understanding, and generating human language at massive scales, typically involving vast datasets and distributed computing infrastructures to address the challenges of volume, velocity, and variety inherent in big data environments.

1.3K

Publications

137.7K

Citations

5.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

914

Authors

5.9K

  1. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    9 publications · 2.2K citations

    9

    h-index

  2. AZ
    Anas Zafar

    Scripps MD Anderson Cancer Center, United States

    9 publications · 742 citations

    9

    h-index

  3. AM
    Amgad Muneer

    Universiti Teknologi Petronas, Malaysia

    9 publications · 742 citations

    9

    h-index

  4. SM
    Seyedali Mirjalili

    Torrens University Australia, Australia

    9 publications · 742 citations

    9

    h-index

  5. MU
    Muhammad Usman Hadi

    University of Bologna, Italy

    9 publications · 742 citations

    9

    h-index

1–5 of 5.9K

Venues

  1. arXiv (Cornell University)

    Repository · 251 publications · 25.7K citations

    66

    h-index

  2. IEEE Access

    27 publications · 2.7K citations

    22

    h-index

  3. The Association for Computational Linguistics

    19 publications · 4.6K citations

    16

    h-index

  4. SSRN Electronic Journal

    Repository · 12 publications · 836 citations

    11

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 1.3K citations

    10

    h-index

1–5