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20212026
most citedInvestigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics

2 citations · 4 across the 6 of their papers we have counts for

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cs.CL2021★ 1 cited

On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach

Francisco Valentini, Germán Rosati, Damián Blasi +2

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…