Named Entity Recognition On Linnaeus
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| BLSTM-CNN-Char (SparkNLP) | 86.26 | Biomedical Named Entity Recognition at Scale | - |
| BERN2 | 92.7 | BERN2: an advanced neural biomedical named entity recognition and normalization tool | |
| Spark NLP | 86.26 | Biomedical Named Entity Recognition at Scale | - |
| aimped | 89.72 | - | - |
| BioFLAIR | 87.02 | BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks | |
| BERN | 88.0 | A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining |
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