Named Entity Recognition Ner On Jnlpba

Results

Performance results of various models on this benchmark

Model Name	F1	Paper Title	Repository
Spark NLP	81.29	Biomedical Named Entity Recognition at Scale	-
KeBioLM	82.0	Improving Biomedical Pretrained Language Models with Knowledge
BioBERT	77.59	BioBERT: a pre-trained biomedical language representation model for biomedical text mining
BioMobileBERT	80.13	On the Effectiveness of Compact Biomedical Transformers
PubMedBERT uncased	79.1	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
CompactBioBERT	79.88	On the Effectiveness of Compact Biomedical Transformers
SciBERT (Base Vocab)	75.77	SciBERT: A Pretrained Language Model for Scientific Text
DistilBioBERT	79.97	On the Effectiveness of Compact Biomedical Transformers
BioLinkBERT (large)	80.06	LinkBERT: Pretraining Language Models with Document Links
BioKMNER + BioBERT	77.83	Improving Biomedical Named Entity Recognition with Syntactic Information
BioFLAIR	77.03	BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks
BINDER	80.3	Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
BioDistilBERT	79.1	On the Effectiveness of Compact Biomedical Transformers
SciFive-Large	77.55	SciFive: a text-to-text transformer model for biomedical literature
aimped	77.72	-	-
MINER	77.03	MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
BLSTM-CNN-Char (SparkNLP)	81.29	Biomedical Named Entity Recognition at Scale	-

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