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SOTA
Nested Named Entity Recognition
Nested Named Entity Recognition On Ace 2005
Nested Named Entity Recognition On Ace 2005
Metrics
F1
Results
Performance results of various models on this benchmark
Columns
Model Name
F1
Paper Title
BINDER
89.5
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
Triaffine + ALBERT
88.83
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
PIQN
87.42
Parallel Instance Query Network for Named Entity Recognition
CNN-NER
87.42
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
Baseline + BS
87.15
Boundary Smoothing for Named Entity Recognition
Sequence-to-Set
87.05
A Sequence-to-Set Network for Nested Named Entity Recognition
Triaffine + BERT
86.82
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
W2NER
86.79
Unified Named Entity Recognition as Word-Word Relation Classification
Locate and Label
86.67
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
Hashing
85.90
To be Continuous, or to be Discrete, Those are Bits of Questions
BoningKnife
85.46
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
PO-TreeCRFs
85.4
Nested Named Entity Recognition with Partially-Observed TreeCRFs
LogSumExpDecoder
84.93
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path
BARTNER
84.74
A Unified Generative Framework for Various NER Subtasks
Second-best learning and decoding + BERT + Flair
84.34
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
seq2seq+BERT+Flair
84.33
Neural Architectures for Nested NER through Linearization
Second-best learning and decoding + BERT
83.99
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
Merge and Label
82.4
Merge and Label: A novel neural network architecture for nested NER
MGNER
78.2
Multi-Grained Named Entity Recognition
Second-best learning and decoding
76.83
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
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