Multi-Grained Named Entity Recognition
Table 3: Results on different types of sentences (ACE-2005).
['[BOLD] MODEL', '[BOLD] OVERLAPPING  [BOLD] P', '[BOLD] OVERLAPPING  [BOLD] R', '[BOLD] OVERLAPPING  [BOLD] F1', '[BOLD] NON-OVERLAPPING  [BOLD] P', '[BOLD] NON-OVERLAPPING  [BOLD] R', '[BOLD] NON-OVERLAPPING  [BOLD] F1']
Four state-of-the-art nested NER models are compared with our proposed framework MGNER on the ACE-2005 dataset. This observation indicates that our model can better recognize non-overlapping entities than previous nested NER models.