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SOTA
Named Entity Recognition Ner
Named Entity Recognition Ner On Ncbi Disease
Named Entity Recognition Ner On Ncbi Disease
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Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
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Modellname
F1
Paper Title
Repository
SciFive-Base
89.39
SciFive: a text-to-text transformer model for biomedical literature
BLSTM-CNN-Char (SparkNLP)
89.13
Biomedical Named Entity Recognition at Scale
-
GoLLIE
86.5
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
BioMobileBERT
87.21
On the Effectiveness of Compact Biomedical Transformers
BioBERT
89.71
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
CL-KL
88.96
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
BioLinkBERT (large)
88.76
LinkBERT: Pretraining Language Models with Document Links
BERN2
88.6
BERN2: an advanced neural biomedical named entity recognition and normalization tool
DistilBioBERT
87.93
On the Effectiveness of Compact Biomedical Transformers
PubMedBERT uncased
87.82
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
BERT-CRF
84.5
Focusing on Potential Named Entities During Active Label Acquisition
BioMegatron BERT-cased
87.8
BioMegatron: Larger Biomedical Domain Language Model
SciBERT (Base Vocab)
86.88
SciBERT: A Pretrained Language Model for Scientific Text
NuNER Zero Span
61.1
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
SpanModel + SequenceLabelingModel
89.6
Comparing and combining some popular NER approaches on Biomedical tasks
GPT-4
-
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark
-
KeBioLM
89.1
Improving Biomedical Pretrained Language Models with Knowledge
BERN
88.3
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining
CompactBioBERT
88.67
On the Effectiveness of Compact Biomedical Transformers
STM
88.6
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation
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