A Feature-Rich Vietnamese Named-Entity Recognition Model
Table 7: Accuracy of NER system with syllable-based and word-based model. We do not use features based on PoS and chunking tags. “ws” stands for word segmentation
['[BOLD] Setting', '[BOLD] Precision', '[BOLD] Recall', '[ITALIC] F1']
Experimental results confirm our hypothesis that in Vietnamese, word segmentation is useful for a feature-based NER model. Word-based models outperform syllable-based models even with automatically generated word-segmentation.