GloVe
Global Vectors for Word Representation
Abstract
- Global log-bilinear regression model
- Combines: (1) global matrix factorization, (2) local context window methods
- Trains only on non-zero elements in a word-word co-occurence matrix OR on individual context windows in a large corpus
- Performance of 75% on a recent word analogy task