Named Entity Recognition On Conll 2002
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| Biaffine-NER | 90.3 | Named Entity Recognition as Dependency Parsing | - |
| Straková et al., 2019 | 88.8 | Neural Architectures for Nested NER through Linearization | - |
| FLERT XLM-R | 90.14 | FLERT: Document-Level Features for Named Entity Recognition | - |
| ACE | 91.7 | Automated Concatenation of Embeddings for Structured Prediction | - |
| Cross-sentence context (CMV) | 88.32 | Exploring Cross-sentence Contexts for Named Entity Recognition with BERT | - |
| ACE + document-context | 95.9 | Automated Concatenation of Embeddings for Structured Prediction | - |
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