Named Entity Recognition On Ace 2005

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이 벤치마크에서 각 모델의 성능 결과

모델 이름	F1	Paper Title	Repository
DiffusionNER	86.93	DiffusionNER: Boundary Diffusion for Named Entity Recognition
BERT-MRC	86.88	A Unified MRC Framework for Named Entity Recognition
PIQN	87.42	Parallel Instance Query Network for Named Entity Recognition
Merge and Label	82.4	Merge and Label: A novel neural network architecture for nested NER
PromptNER [RoBERTa-large]	88.26	PromptNER: Prompt Locating and Typing for Named Entity Recognition
Locate and Label	86.67	Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition	-
Neural layered model	72.2	A Neural Layered Model for Nested Named Entity Recognition
Ours: cross-sentence ALB	90.9	A Frustratingly Easy Approach for Entity and Relation Extraction
BiFlaG	75.1	Bipartite Flat-Graph Network for Nested Named Entity Recognition
seq2seq+BERT+Flair	84.33	Neural Architectures for Nested NER through Linearization
Anchor-Region Networks	74.9	Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
BoningKnife	85.46	BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge	-
UniNER-7B	86.69	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Neural segmental hypergraphs	74.5	Neural Segmental Hypergraphs for Overlapping Mention Recognition
GoLLIE	89.6	GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Neural transition-based model	73.0	A Neural Transition-based Model for Nested Mention Recognition
Second-best learning and decoding	84.34	Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
Biaffine-NER	85.4	Named Entity Recognition as Dependency Parsing
MGNER	78.2	Multi-Grained Named Entity Recognition
PromptNER [BERT-large]	87.21	PromptNER: Prompt Locating and Typing for Named Entity Recognition

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