Meta Multi-Task Learning for Sequence Modeling
Table 5: Accuracy rates of our models on three tasks for sequence tagging.† means evaluated by F1 score(%), ‡ means evaluated by accuracy(%). ⧫ is the model implemented in [Huang, Xu, and Yu2015] .
['[EMPTY]', 'CoNLL2000†', 'CoNLL2003†', 'WSJ‡']
As shown, our proposed Meta-LSTM performs better than our competitor models whether it is single or multi-task learning.