the word embeddings can be dreadfully sexist. This happens because any bias in the articles that make up the Word2vec corpus is inevitably captured in the geometry of the vector space.

This allows every word to be represented by a vector in this space and sentences to be represented by combinations of vectors. Google goes on to make an important assumption. This is that specific ...