It is well-established that gender bias exists in language -for example, we see evidence of this given the prevalence of sexism in abusive language datasets (Waseem and Hovy, 2016;Jha and Mamidi, 2017).
the clusters we mentioned so far all lean heavily toward one gender association or the other, but some clusters are interesting precisely because they do not lean heavily -this allows us to see where semantic groupings do not align exactly with gender association.