We selected the hyperparameters that maximized the average unlabeled attachment score (UAS) (Kübler et al., 2009), which is the evaluation metric that is reported by most previ-11 However, as we are interested in transfer to unseen languages, our Table 2 follows the principle of Eisner and Wang (n.d.) and does not test on the Finnishftb or Latin treebanks because other treebanks of those languages appeared in training data.
latinitt and latinproiel fall in the same training folds as French and Italian, respectively.