How to Remove Gender Bias in Machine Learning Models: NLP and Word Embeddings

How to Remove Gender Bias in Machine Learning Models: NLP and Word Embeddings. This article provides a review and the arguments made by Bolukbasi et al. in the paper “Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embedings”. In this article, we’ll be using Word2Vec for all the examples. To remove the gender bias, we need to identify the gender dimension (A word embedding consists of hundreds of dimensions)