Named Entity Recognition On Bc4Chemd
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| BERN | 91.2 | A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining | |
| BLSTM-CNN-Char (SparkNLP) | 93.72 | Biomedical Named Entity Recognition at Scale | - |
| UniNER-7B | 89.21 | UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition | |
| BERN2 | 92.8 | BERN2: an advanced neural biomedical named entity recognition and normalization tool | |
| aimped | 92.45 | - | - |
| BertForTokenClassification (Spark NLP) | 94.39 | Accurate clinical and biomedical Named entity recognition at scale | |
| Att-BiLSTM-CRF | 91.14 | An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition |
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