Chunking On Conll 2000
Metrics
Exact Span F1
Results
Performance results of various models on this benchmark
Model Name | Exact Span F1 | Paper Title | Repository |
|---|---|---|---|
| Flair | 96.72 | Contextual String Embeddings for Sequence Labeling | |
| BiLSTM-CRF | 95.18 | Robust Multilingual Part-of-Speech Tagging via Adversarial Training | |
| ELMo + MAT + Multi-Task | 97.04 | Enhance Robustness of Sequence Labelling with Masked Adversarial Training | - |
| BERT-CRF (Replicated in AdaSeq) | 97.18 | Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning | |
| ELMo + Multi-Task | 96.83 | Cross-View Training for Semi-Supervised Learning | - |
| Adversarial Training | 95.25 | Robust Multilingual Part-of-Speech Tagging via Adversarial Training | |
| SeqVAT | 95.45 | SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling | - |
| ACE | 97.3 | Automated Concatenation of Embeddings for Structured Prediction | |
| CVT+Multi-Task+Large | 96.98 | Cross-View Training for Semi-Supervised Learning | - |
0 of 9 row(s) selected.