Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning
Table 4: SMTL for Swedish without sharing BiLSTM(chars).
['SV', 'SMTL', 'UAS 86.79', 'LAS 82.31']
To verify the first issue, we conduct tests on SMTL without sharing Char-BiLSTMs. This observation also indicates that MTL has the potential to reach higher performances through language-specific tuning of parameter sharing strategies.