Named Entity Recognition Ner On Conll 2003

评估指标

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
ACE + document-context	94.6	Automated Concatenation of Embeddings for Structured Prediction
LUKE 483M	94.3	LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Co-regularized LUKE	94.22	Learning from Noisy Labels for Entity-Centric Information Extraction
LUKE + SubRegWeigh (K-means)	94.2	SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
ASP+T5-3B	94.1	Autoregressive Structured Prediction with Language Models
FLERT XLM-R	94.09	FLERT: Document-Level Features for Named Entity Recognition
PL-Marker	94.0	Packed Levitated Marker for Entity and Relation Extraction
CL-KL	93.85	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
XLNet-GCN	93.82	Named entity recognition architecture combining contextual and global features
RoBERTa + SubRegWeigh (K-means)	93.81	SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization
ASP+flan-T5-large	93.8	Autoregressive Structured Prediction with Language Models
InferNER	93.76	InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs	-
Cross-sentence context (First)	93.74	Exploring Cross-sentence Contexts for Named Entity Recognition with BERT
XLM-RoBERTa-large union	93.69	Transformer-based Named Entity Recognition with Combined Data Representation	-
Baseline + BS	93.65	Boundary Smoothing for Named Entity Recognition
ACE	93.64	Automated Concatenation of Embeddings for Structured Prediction
BERT-CRF	93.6	Focusing on Potential Named Entities During Active Label Acquisition
CNN Large + fine-tune	93.5	Cloze-driven Pretraining of Self-attention Networks	-
Biaffine-NER	93.5	Named Entity Recognition as Dependency Parsing
I-DARTS + Flair	93.47	Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition	-

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