Temporal Word Embeddings

Temporal Word Embeddings is a type of word representation model that captures the evolution of word meanings over time by generating time-specific vector embeddings within a diachronic semantic space.

27

Publications

2.4K

Citations

70

Authors

41

Institutions

Publications per year

2017–2026

22

Variants

Diachronic Word Embeddings

Authors

70

  1. FB
    Federico Bianchi

    Bocconi University, Italy

    3 publications · 72 citations

    3

    h-index

  2. TS
    Terrence Szymanski

    University College Dublin, Ireland

    2 publications · 202 citations

    2

    h-index

  3. SP
    Slav Petrov

    Google (United States), United States

    2 publications · 315 citations

    2

    h-index

  4. VD
    Valerio Di Carlo

    San Raffaele University of Rome, Italy

    2 publications · 61 citations

    2

    h-index

  5. RB
    Robert Bamler

    University of California, Irvine, United States

    2 publications · 208 citations

    2

    h-index

1–5 of 70

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 344 citations

    6

    h-index

  2. Cognitive Science

    1 publications · 11 citations

    1

    h-index

  3. Neurobiology of Language

    1 publications · 11 citations

    1

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 1.1K citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 24 citations

    1

    h-index

1–5