We tune the parameter I (as shown in Algorithm 1) in the range of [50,100,150].
when richer multilingual representation technique like mBERT is employed, adversarial training can still improve cross-lingual transfer performances (0.21 and 0.54 UAS over the 29 languages by using French and Russian, respectively).