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Named Entity Recognition On Ace 2005

Metrics

F1

Results

Performance results of various models on this benchmark

Paper Title
Ours: cross-sentence ALB90.9A Frustratingly Easy Approach for Entity and Relation Extraction
GoLLIE89.6GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
PromptNER [RoBERTa-large]88.26PromptNER: Prompt Locating and Typing for Named Entity Recognition
PIQN87.42Parallel Instance Query Network for Named Entity Recognition
PromptNER [BERT-large]87.21PromptNER: Prompt Locating and Typing for Named Entity Recognition
DiffusionNER86.93DiffusionNER: Boundary Diffusion for Named Entity Recognition
BERT-MRC86.88A Unified MRC Framework for Named Entity Recognition
UniNER-7B86.69UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Locate and Label86.67Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
BoningKnife85.46BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
Biaffine-NER85.4Named Entity Recognition as Dependency Parsing
Second-best learning and decoding84.34Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
seq2seq+BERT+Flair84.33Neural Architectures for Nested NER through Linearization
Merge and Label82.4Merge and Label: A novel neural network architecture for nested NER
MGNER78.2Multi-Grained Named Entity Recognition
BiFlaG75.1Bipartite Flat-Graph Network for Nested Named Entity Recognition
Anchor-Region Networks74.9Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
Neural segmental hypergraphs74.5Neural Segmental Hypergraphs for Overlapping Mention Recognition
Neural transition-based model73.0A Neural Transition-based Model for Nested Mention Recognition
Neural layered model72.2A Neural Layered Model for Nested Named Entity Recognition
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