Named Entity Recognition On Bionlp13 Cg
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| BertForTokenClassification (Spark NLP) | 87.83 | Accurate clinical and biomedical Named entity recognition at scale | |
| aimped | 87.85 | - | - |
| BLSTM-CNN-Char (SparkNLP) | 85.58 | Biomedical Named Entity Recognition at Scale | - |
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