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명명된 실체 인식 (NER)
Named Entity Recognition On Conll
Named Entity Recognition On Conll
평가 지표
F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
F1
Paper Title
Repository
BiLSTM-CRF+ELMo
93.42
Deep contextualized word representations
LUKE + SubRegWeigh (K-means)
95.27
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
Pooled Flair
94.13
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Noise-robust Co-regularization + LUKE
95.60
Learning from Noisy Labels for Entity-Centric Information Extraction
LSTM-CRF
91.47
Neural Architectures for Named Entity Recognition
Noise-robust Co-regularization + BERT-large
94.04
Learning from Noisy Labels for Entity-Centric Information Extraction
RoBERTa + SubRegWeigh (K-means)
95.45
SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
CrossWeigh + Pooled Flair
94.28
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
CL-KL
94.81
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
LUKE(Large)
95.89
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
BiLSTM-CNN-CRF
91.87
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
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