Named Entity Recognition Ner On Jnlpba

Results

Performance results of various models on this benchmark

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

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