Similar to aforementioned conclusion, joint training helps the joint training model outperform the cascading model by 0.8% in accuracy, 0.9% in Macro F1 measure and 0.7% in Weighted F1 measure.
we can conclude that joint training can also learn features from segmentation task to help recognize DA tags.