1 code implementation • 2 Jan 2023 • Francisco Valentini, Germán Rosati, Diego Fernandez Slezak, Edgar Altszyler
In this work we study the effect of frequency when measuring female vs. male gender bias with word embedding-based bias quantification methods.
1 code implementation • 15 Nov 2022 • Francisco Valentini, Juan Cruz Sosa, Diego Fernandez Slezak, Edgar Altszyler
In the present work, we systematically study the association between frequency and semantic similarity in several static word embeddings.
1 code implementation • 13 Apr 2021 • Francisco Valentini, Germán Rosati, Damián Blasi, Diego Fernandez Slezak, Edgar Altszyler
In recent years, word embeddings have been widely used to measure biases in texts.