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· 2014

Glove: Global Vectors for Word Representation

Jeffrey Pennington, Richard Socher, Christopher D. Manning

Short summary

A new global log-bilinear regression model, Glove, efficiently learns word vector representations by training on a word-word co-occurrence matrix, achieving 75% accuracy on a word analogy task.

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Field: Artificial Intelligence

Artificial IntelligenceComputer Science