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SOTA
Named Entity Recognition Ner
Named Entity Recognition Ner On Bc5Cdr
Named Entity Recognition Ner On Bc5Cdr
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F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
F1
Paper Title
Repository
GoLLIE
88.4
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
BINDER
91.9
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
aimped
90.95
-
-
BLSTM-CNN-Char (SparkNLP)
89.73
Biomedical Named Entity Recognition at Scale
-
SciBERT (SciVocab)
88.94
SciBERT: A Pretrained Language Model for Scientific Text
RDANER
87.38
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
Spark NLP
89.73
Biomedical Named Entity Recognition at Scale
-
SciBERT (Base Vocab)
88.11
SciBERT: A Pretrained Language Model for Scientific Text
CollaboNet
87.12
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
CL-L2
90.99
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
BertForTokenClassification (Spark NLP)
90.89
Accurate clinical and biomedical Named entity recognition at scale
ELECTRAMed
90.03
ELECTRAMed: a new pre-trained language representation model for biomedical NLP
BERT-CRF
86
Focusing on Potential Named Entities During Active Label Acquisition
ConNER
91.3
Enhancing Label Consistency on Document-level Named Entity Recognition
BioLinkBERT (large)
90.22
LinkBERT: Pretraining Language Models with Document Links
UniNER-7B
89.34
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
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