Named Entity Recognition On Bc5Cdr Chemical

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title	Repository
Spark NLP	94.88	Biomedical Named Entity Recognition at Scale
SciFive-Large	94.76	SciFive: a text-to-text transformer model for biomedical literature
HGN	94.59	Hero-Gang Neural Model For Named Entity Recognition
DistilBioBERT	94.53	On the Effectiveness of Compact Biomedical Transformers
BioDistilBERT	94.48	On the Effectiveness of Compact Biomedical Transformers
CompactBioBERT	94.31	On the Effectiveness of Compact Biomedical Transformers
BioMobileBERT	94.23	On the Effectiveness of Compact Biomedical Transformers
BioKMNER + BioBERT	94.22	Improving Biomedical Named Entity Recognition with Syntactic Information	-
BioLinkBERT (large)	94.04	LinkBERT: Pretraining Language Models with Document Links
NCBI_BERT(base) (P)	93.5	Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
KeBioLM	93.3	Improving Biomedical Pretrained Language Models with Knowledge
BioMegatron	92.9	BioMegatron: Larger Biomedical Domain Language Model
Att-BiLSTM-CRF	92.57	An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition	-

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