A Unified Tagging Solution:Bidirectional LSTM Recurrent Neural Network with Word Embedding
Table 4: Comparison of systems with one and two BLSTM hidden layers.
['[BOLD] Sys', '[BOLD] POS(Acc)', '[BOLD] CHUNK(F1)', '[BOLD] NER(F1)']
Besides, we also evaluate deep structure which uses multiple BLSTM layers. This deep BLSTM has been reported achieving significantly better performance than single layer BLSTM in various applications such as speech synthesis Size of all hidden layers is set 100.