Note that, the bilingual data needed for this approach is coarsely taken from the same domain.
task-specific models use all three splits for training, hyper-parameter tuning and evaluation, respectively, while models trained on bilingual data only use the test split for evaluation (so  table 2: AUC performance for our approach in comparison to the task-specific models directly trained on the evaluation datasets (results are comparable to supervised state-of-theart).