fzhang612

Thanks for the response. However I now feel confused with the difference between `starspace_embedding(model, 'word1 word2', type = 'document')` and `starspace_embedding(model, 'word1 word2', type = 'ngram')`. If the latter is...

Yes, I did divide the embedding summation by Size^p. Let me rephrase my question in a clearer way. If `model` is trained with `similarity = 'dot', p = 0.5, ngrams...