Multilingual Text Classification

Multilingual Text Classification is a natural language processing task that involves categorizing text documents into predefined classes or categories using models trained on or capable of generalizing across multiple languages.

213

Publications

8.9K

Citations

683

Authors

304

Institutions

Publications per year

2017–2026

120

Authors

683

  1. XW
    Xiaojun Wan

    Peking University, China

    6 publications · 737 citations

    6

    h-index

  2. NL
    Nikola Ljubešić

    University of Zagreb, Croatia

    4 publications · 275 citations

    4

    h-index

  3. BR
    Bharathi Raja Chakravarthi

    Ollscoil na Gaillimhe – University of Galway, Ireland

    4 publications · 223 citations

    4

    h-index

  4. CG
    Cyril Goutte

    National Research Council Canada, Canada

    4 publications · 387 citations

    4

    h-index

  5. MZ
    Marcos Zampieri

    University of Wolverhampton, United Kingdom

    3 publications · 254 citations

    3

    h-index

1–5 of 683

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 284 citations

    9

    h-index

  2. International Conference on Computational Linguistics

    Conference · 6 publications · 318 citations

    6

    h-index

  3. Neural Computing and Applications

    3 publications · 156 citations

    3

    h-index

  4. Information Processing & Management

    3 publications · 173 citations

    3

    h-index

  5. Multimedia Tools and Applications

    2 publications · 30 citations

    2

    h-index

1–5