A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Table 3: Performances of different models on test set of CTB dataset.
['models', 'w/o LSTM P', 'w/o LSTM R', 'w/o LSTM F', 'LSTM P', 'LSTM R', 'LSTM F', 'BLSTM P', 'BLSTM R', 'BLSTM F']
The model incorporating convolutional layer, pooling layer, highway layer, and BLSTM layer, achieves the best performance on F1 score (90.39) on test set of CTB dataset. Therefore, we would like to compare our approach with other previous works using this topology.