Hierarchical Contextualized Representation for Named Entity Recognition
Table 2: F1 scores on CoNLL-2003. † refers to models trained on both training and development datasets.
['[BOLD] Models', '[ITALIC] F1']
Our model surpasses previous state-of-the-art approaches on all the three datasets. On CoNLL-2002 Spanish dataset, our model achieves 87.08 F1 score without external knowledge, which surpasses previous best score by 0.4. Considering that the above two datasets are relatively small, we further conduct experiment on a much more large OntoNotes 5.0 dataset, which also has more entity types. Overall, the comparisons on these three benchmark datasets well demonstrate that our model truly learns and benefits from useful sentence-level and document-level representation without the support from external knowledge.