An Empirical Study on the Fairness of Pre-trained Word Embeddings

no code implementations • NAACL (GeBNLP) 2022 • Emeralda Sesari, Max Hort, Federica Sarro

Pre-trained word embedding models are easily distributed and applied, as they alleviate users from the effort to train models themselves.

Fairness Word Embeddings