Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning
Table 6: Monolingual (Conll↔Univ) performance. SV∗ is used for computing the Avg values.
['[EMPTY]', 'Sup UAS', 'Sup LAS', 'Cas UAS', 'Cas LAS', 'MTL UAS', 'MTL LAS']
Overall MTL systems outperforms the supervised baselines by significant margins in both conditions, showing the mutual benefits of UDT and CoNLL-X treebanks.