On Measuring and Mitigating Biased Inferences of Word Embeddings
Table 2: Gendered template parameters with largest entailment and contradiction values with the GloVe model.
['occ.', 'verb', 'obj.', 'gen.', 'ent.', 'cont.']
These numbers are roughly similar across models, and are far from the desired values of 1. This demonstrates gender bias in both static and contextualized embeddings.