Then we split all such instances into training and test, with 539 and 62 instances, respectively and augment these sentences by swapping all the gendered words with words of the opposite gender such that the numbers of male 1 We use the list collected in (<cite>Zhao et al., 2018a</cite>) and female entities are balanced.