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GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. | GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. | ||
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[https://www.kdnuggets.com/2021/11/guide-word-embedding-techniques-nlp.html Source : kdnuggets] | |||
[https://nlp.stanford.edu/projects/glove/ Source : stanford ] | [https://nlp.stanford.edu/projects/glove/ Source : stanford ] | ||
Version du 17 novembre 2021 à 11:42
en construction
Définition
XXXXXXXXX
Français
GloVe
Anglais
GloVe
Global Vectors for Word Representation
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.
Contributeurs: Claude Coulombe, Jean Benoît Morel, wiki
