Named Entity Recognition Ner On Jnlpba
المقاييس
F1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | F1 |
---|---|
biomedical-named-entity-recognition-at-scale | 81.29 |
improving-biomedical-pretrained-language | 82.0 |
biobert-a-pre-trained-biomedical-language | 77.59 |
on-the-effectiveness-of-compact-biomedical | 80.13 |
domain-specific-language-model-pretraining | 79.1 |
on-the-effectiveness-of-compact-biomedical | 79.88 |
scibert-pretrained-contextualized-embeddings | 75.77 |
on-the-effectiveness-of-compact-biomedical | 79.97 |
linkbert-pretraining-language-models-with | 80.06 |
improving-biomedical-named-entity-recognition | 77.83 |
bioflair-pretrained-pooled-contextualized | 77.03 |
optimizing-bi-encoder-for-named-entity | 80.3 |
on-the-effectiveness-of-compact-biomedical | 79.1 |
scifive-a-text-to-text-transformer-model-for | 77.55 |
النموذج 15 | 77.72 |
miner-improving-out-of-vocabulary-named-1 | 77.03 |
biomedical-named-entity-recognition-at-scale | 81.29 |