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