Subword Embeddings

Subword Embeddings is a type of word representation in natural language processing where the meaning of a word is modeled as a function of the embeddings of its constituent character n-grams or subword units, enabling the capture of morphological information and effective handling of out-of-vocabulary words.

154

Publications

17.2K

Citations

477

Authors

171

Institutions

Publications per year

2017–2026

113

Authors

477

  1. MS
    Manish Shrivastava

    International Institute of Information Technology, Hyderabad, India

    3 publications · 194 citations

    3

    h-index

  2. MK
    Mikko Kurimo

    Aalto University, Finland

    3 publications · 99 citations

    3

    h-index

  3. HZ
    Hai Zhao

    Shanghai Jiao Tong University, China

    3 publications · 112 citations

    3

    h-index

  4. MS
    Michael Strube

    Washington University in St. Louis, United States

    3 publications · 240 citations

    3

    h-index

  5. HS
    Hinrich Schütze

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 121 citations

    3

    h-index

1–5 of 477

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 1K citations

    15

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 618 citations

    4

    h-index

  3. International Conference on Computational Linguistics

    Conference · 3 publications · 168 citations

    3

    h-index

  4. Neurocomputing

    2 publications · 45 citations

    2

    h-index

  5. Language Resources and Evaluation

    2 publications · 44 citations

    2

    h-index

1–5