Concept information
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.
Broader concept
Belongs to group
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
• 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
- • 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
• Document type: software description
• Access: open
Creator
- Frank Arnould
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/P66-MGX3FNFD-5 - • 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
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}