Training
GloVe: Global Vectors for Word Representation
Stanford·October 1, 2014
Jeffrey Pennington, Richard Socher, Christopher Manning
TL;DR
Learns word embeddings from global co-occurrence statistics, a popular alternative to word2vec.
Why it matters
Helped cement embeddings as standard infrastructure for natural-language processing.