The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition
Table 7: Performance of our model when adding more features
['Features', 'Pre.', 'Rec.', '[ITALIC] F1']
As shown in the previous experiments, using only word features in deep learning models is not enough to achieve the state-of-the-art result. In particular, the accuracy of this model is only 74.02%. This result is far lower in comparison to that of state-of-the-art systems for Vietnamese NER. In the following experiments, we add more useful features to enhance the performance of our deep learning model.