Word embeddings quantify 100 years of gender and ethnic stereotypes

Significance Word embeddings are a popular machine-learning method that represents each English word by a vector, such that the geometry between these vectors captures semantic relations between the corresponding words. We demonstrate that word embeddings can be used as a powerful tool to quantify h... View More