Named Entity Recognition On Bc2Gm

Results

Performance results of various models on this benchmark

		Paper Title
Spark NLP	88.75	Biomedical Named Entity Recognition at Scale
BioDistilBERT	86.97	On the Effectiveness of Compact Biomedical Transformers
CompactBioBERT	86.71	On the Effectiveness of Compact Biomedical Transformers
DistilBioBERT	86.6	On the Effectiveness of Compact Biomedical Transformers
HGN	85.65	Hero-Gang Neural Model For Named Entity Recognition
BioKMNER + BioBERT	85.29	Improving Biomedical Named Entity Recognition with Syntactic Information
BioMobileBERT	85.26	On the Effectiveness of Compact Biomedical Transformers
BioLinkBERT (large)	85.18	LinkBERT: Pretraining Language Models with Document Links
KeBioLM	85.1	Improving Biomedical Pretrained Language Models with Knowledge
PubMedBERT uncased	84.52	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
BERN2	83.7	BERN2: an advanced neural biomedical named entity recognition and normalization tool
BERN	83.4	A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
UniNER-7B	82.42	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition

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