2023
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
ACL 2023short
In recent years, word embeddings have been widely used to measure biases in texts. Even if they have proven to be effective in detecting a wide variety of biases, metrics based on word embeddings lack transparency and interpretability. We analyze an alternative PMI-based metric to quantify biases in…