Reviews: Assessing Social and Intersectional Biases in Contextualized Word Representations

I look forward to the final version including more details about the tests, as requested by reviewer 2.] This paper studies the presence of social biases in contextualized word representations. First, word co-occurnce statistics of pronouns and stereotypical occupations are provided for various datasets used for training contextualizers. Then, the word/sentence embedding association test is extended for the contextual case. Using templates, instead of aggregating over word representations (in sentence test) or taking the context-free word embedding (in word test), the contextual word representation is used. Then, an association test compares the association between a concept and an attribute using a permutation test.