Named Entity Recognition On Bc5Cdr Chemical

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1	Paper Title	Repository
BioKMNER + BioBERT	94.22	Improving Biomedical Named Entity Recognition with Syntactic Information
HGN	94.59	Hero-Gang Neural Model For Named Entity Recognition	-
CompactBioBERT	94.31	On the Effectiveness of Compact Biomedical Transformers	-
SciFive-Large	94.76	SciFive: a text-to-text transformer model for biomedical literature	-
KeBioLM	93.3	Improving Biomedical Pretrained Language Models with Knowledge	-
BioDistilBERT	94.48	On the Effectiveness of Compact Biomedical Transformers	-
Spark NLP	94.88	Biomedical Named Entity Recognition at Scale	-
Att-BiLSTM-CRF	92.57	An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition
BioMobileBERT	94.23	On the Effectiveness of Compact Biomedical Transformers	-
DistilBioBERT	94.53	On the Effectiveness of Compact Biomedical Transformers	-
BioLinkBERT (large)	94.04	LinkBERT: Pretraining Language Models with Document Links	-
BioMegatron	92.9	BioMegatron: Larger Biomedical Domain Language Model	-
NCBI_BERT(base) (P)	93.5	Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets	-

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