Word embedding models were evaluated using a variety of word similarity, relatedness and analogy tasks often used in the NLP literature.

All tests were performed using the top 200,000 most frequent words in each model vocabulary. The BATS test sets sometimes contain several valid answers. We only used the first of those answers to test for the validity of the embedding model predictions.