In this set-up, after training the model on concatenated data, it is refined for each treebank by training only on its own training set for a few additional epochs.
in this model, treebank-specific BiL-STMs are constructed for all treebanks in addition to a shared BiLSTM which is used both for parsing and for the adversarial task.