Improving Neural Sequence Labelling using Additional Linguistic Information
TABLE IV: Comparison of F1 scores of different models for NER
['[BOLD] Model', '[BOLD] F1-score']
Huang et al. For random embeddings, they achieved a very low score of 84.26%. Our model achieves a state of the art result of 91.63%.