Neural Reranking for Named Entity Recognition
Table 4: Comparison of state-of-the-art systems.
['[BOLD] Discrete Model (%)', '[BOLD] F1']
It also outperforms Nguyen et al. Ratinov and Roth * achieves 90.57% in discrete model by combining global features and abundant external lexicons, while its performance drops to 88.55% when removing the global features Ratinov and Roth Luo et al.