the open
    research
    Contribute
    Back to the reading lists

    Language, speech & LLMs· 2016

    Enriching Word Vectors with Subword Information

    Piotr Bojanowski (first author) · 2016

    Read the original

    arXiv 1607.04606OpenAlex W2493916176

    On the reading lists

    Why it matters

    Introduced fastText subword embeddings, improving morphological generalization and rare-word handling.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1607.04606)
    Citations
    11,059 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.412 · computed rank 352 · consensus 0.44, must-read 0, citations percentile 0.8 (2010s · language), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.