Machine Learning, NLP, Naturallanguageprocessing, Data Science, Word Embeddings.
man than to woman in the pretrained embedding space. This gender bias will therefore be reproduced in the automated task. Gender inequality, race discrimination and other stereotypical biases are deeply rooted in our society and our use of the language. As such, the application of machine learning