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Cognitive psychology of human memory (CogMemo thesaurus)

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Concept information

... > information entity > theoretical entity > scientific model > computational model > distributional model > word embedding

Terme préférentiel

word embedding  

Définition

  • "Word embeddings are low-dimensional numeric representations of words generated by artificial intelligence (AI) methods that capture word co-occurrence statistics. The assumption in these models is that words located in close proximity to one another in the vector space are semantically similar. The similarity between two word meanings, such as “plate" and “bowl", can be quantified by taking the cosine distance between the corresponding vectors in the model." (Calistan & Lewis, 2020, p. 3).

Concept générique

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Appartient au groupe

Référence(s) bibliographique(s)

  • • Caliskan, A., & Lewis, M. (2020). Social biases in word embeddings and their relation to human cognition. PsyArXiv. https://doi.org/10.31234/osf.io/d84kg

    • Document 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

    • Document type: literature review

    • Access: open

  • • Lake, B. M., & Murphy, G. L. (2023). Word meaning in minds and machines. Psychological Review, 130(2), 401–431. https://doi.org/10.1037/rev0000297

    • Document type: literature review

    • Access: closed

Créateur

  • Frank Arnould

Modèle de

Traductions

URI

http://data.loterre.fr/ark:/67375/P66-M75L9P53-N

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RDF/XML TURTLE JSON-LD Date de création 08/06/2021, dernière modification le 04/09/2023