Named Entity Recognition On Bc2Gm

Results

Performance results of various models on this benchmark

Model Name	F1	Paper Title	Repository
DistilBioBERT	86.6	On the Effectiveness of Compact Biomedical Transformers
BioKMNER + BioBERT	85.29	Improving Biomedical Named Entity Recognition with Syntactic Information
BERN	83.4	A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
BERN2	83.7	BERN2: an advanced neural biomedical named entity recognition and normalization tool
BioDistilBERT	86.97	On the Effectiveness of Compact Biomedical Transformers
HGN	85.65	Hero-Gang Neural Model For Named Entity Recognition
BioMobileBERT	85.26	On the Effectiveness of Compact Biomedical Transformers
BioLinkBERT (large)	85.18	LinkBERT: Pretraining Language Models with Document Links
UniNER-7B	82.42	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
PubMedBERT uncased	84.52	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
CompactBioBERT	86.71	On the Effectiveness of Compact Biomedical Transformers
Spark NLP	88.75	Biomedical Named Entity Recognition at Scale	-
KeBioLM	85.1	Improving Biomedical Pretrained Language Models with Knowledge

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