This setting improves performance by relative error reductions of (1.46%, 1.72%) (ACC, LAS) when compared to training on female-only data, and (10.82%, 2.01%) (ACC, LAS) when compared to training on male-only data.
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).