As can be seen, the proposed DSC loss outperforms the best baseline results by a large margin, i.e., outperforming BERT-tagger by +1.86 in terms of F1 score on CTB5, +1.80 on CTB6 and +2.19 on UD1.4. 
 Question: What are method's improvements of F1 w.r.t. baseline BERT tagger for Chinese POS datasets?
+1.86 in terms of F1 score on CTB5 +1.80 on CTB6 +2.19 on UD1.4