Better, Faster, Stronger Sequence Tagging Constituent Parsers
Table 2: Results on the ctb and spmrl dev sets
['[BOLD] Model', 'ctb', '[BOLD] Basque', '[BOLD] French', '[BOLD] German', '[BOLD] Hebrew', '[BOLD] Hungarian', '[BOLD] Korean', '[BOLD] Polish', '[BOLD] Swedish']
The dynamic encoding improves the performance of the baseline on large treebanks, e.g. German, French or Korean, but causes some drops in the smaller ones, e.g. Swedish or Hebrew. Overall, casting the problem as multitask learning and the strategies used to mitigate error propagation lead to improvements.