Named Entity Recognition Ner On Jnlpba

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	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
모델 15	77.72
miner-improving-out-of-vocabulary-named-1	77.03
biomedical-named-entity-recognition-at-scale	81.29