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Concept information

information entity > algorithm > word2vec

Preferred term

word2vec  

Definition

  • Algorithm for word embeddings using a neural network with a hidden layer. The CBOW (continuous-bag-of-words) technique predicts a word based on its context. The skip-gram technique predicts the context of a word.

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Bibliographic citation(s)

  • • Iordan, M. C., Giallanza, T., Ellis, C. T., Beckage, N. M., & Cohen, J. D. (2022). Context matters : Recovering human semantic structure from machine learning analysis of large-scale text corpora. Cognitive Science, 46(2), e13085. https://doi.org/10.1111/cogs.13085

    [Study type: empirical study / Access: open]
  • • Kumar, A. A. (2021). Semantic memory : A review of methods, models, and current challenges. Psychonomic Bulletin & Review, 28(1), 40‑80. https://doi.org/10.3758/s13423-020-01792-x

    [Study type: literature review / Access: open]
  • • Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. ArXiv:1301.3781 [Cs]. http://arxiv.org/abs/1301.3781

    [Study type: software description / Access: open]

Creator

  • Frank Arnould

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URI

http://data.loterre.fr/ark:/67375/P66-MGX3FNFD-5

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RDF/XML TURTLE JSON-LD Created 6/9/21, last modified 9/4/23