In order to address gender bias in part-of-speech (POS) tagging and dependency parsing, we first require an adequate size data set labeled for a) syntax along with b) gender information of the authors.
existing data sets fail to meet both criteria: data sets with gender information are either too small to train on, lack syntactic information, or are restricted to social media; sufficiently large syntactic data sets are not labeled with gender information and rely (at least in part) on news genre corpora such as the Wall Street Journal (WSJ).