An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing
TABLE X: Performances of NER systems at VLSP 2016
['[BOLD] Team', '[BOLD] Model', '[BOLD] Performance']
In VLSP 2016 workshop, several different systems have been proposed for Vietnamese NER. That system used many hand-crafted features to improve the performance of MEMM. Most approaches in VLSP 2016 used the CRF and maximum entropy models, whose performance is heavily dependent on feature engineering. We observe that although the models studied in this work only rely on word features, their performance is very competitive.