Chunking On Conll 2000
Metrics
Exact Span F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Exact Span F1 |
|---|---|
| contextual-string-embeddings-for-sequence | 96.72 |
| robust-multilingual-part-of-speech-tagging | 95.18 |
| enhance-robustness-of-sequence-labelling-with | 97.04 |
| improving-named-entity-recognition-by | 97.18 |
| cross-view-training-for-semi-supervised | 96.83 |
| robust-multilingual-part-of-speech-tagging | 95.25 |
| seqvat-virtual-adversarial-training-for-semi | 95.45 |
| automated-concatenation-of-embeddings-for-1 | 97.3 |
| cross-view-training-for-semi-supervised | 96.98 |