Table 2 shows there are fewer tweets targeting disability in Arabic compared to English and French and no tweets insulting people based on their sexual orientation which may be due to the fact that the labels of gender, gender identity, and sexual orientation use almost the same wording.
for deep learning based models, we run bidirectional LSTM (biLSTM) models with one hidden layer on each of the classification tasks.