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SOTA
少样本命名实体识别
Few Shot Ner On Few Nerd Inter
Few Shot Ner On Few Nerd Inter
评估指标
5 way 1~2 shot
5 way 5~10 shot
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
5 way 1~2 shot
5 way 5~10 shot
Paper Title
Repository
MSDP
76.86±0.22
84.78±0.69
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
JCELRNER
71.62±0.44
76.14±0.20
-
-
NuNER
67.37±0.31
73.50±0.09
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
HEProto
66.40±0.18
72.53±0.11
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition
-
TadNER
64.83±0.14
72.12±0.12
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
DecomposedMetaNER
64.75±0.35
71.49±0.47
Decomposed Meta-Learning for Few-Shot Named Entity Recognition
DecomposedMetaSL
62.09±0.93
71.26±0.15
Decomposed Meta-Learning for Few-Shot Sequence Labeling
-
ESD
59.29±1.25
69.06±0.80
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
BERT-SparseLT + CONTaiNER
57.14
66.17
Language Model Pre-Training with Sparse Latent Typing
CONTaiNER
55.95
61.83
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
StructShot
51.88±0.69
57.32±0.63
Few-NERD: A Few-Shot Named Entity Recognition Dataset
NNShot
47.24±1.00
55.64±0.63
Few-NERD: A Few-Shot Named Entity Recognition Dataset
ProtoBERT
38.83±1.49
58.79±0.44
Few-NERD: A Few-Shot Named Entity Recognition Dataset
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