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Nested Named Entity Recognition On Ace 2004

Métriques

F1

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
F1
Paper TitleRepository
BINDER88.7Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
PIQN88.14Parallel Instance Query Network for Named Entity Recognition
Triaffine + ALBERT88.56Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition-
W2NER87.52Unified Named Entity Recognition as Word-Word Relation Classification
CNN-NER88.03An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
Second-best learning and decoding + BERT + Flair85.82Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
seq2seq+BERT+Flair84.40Neural Architectures for Nested NER through Linearization
Baseline + BS87.98Boundary Smoothing for Named Entity Recognition
PromptNER [RoBERTa-large]88.72PromptNER: Prompt Locating and Typing for Named Entity Recognition
Second-best learning and decoding + BERT84.97Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
Triaffine + BioBERT87.40Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition-
LogSumExpDecoder86.42Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path
PO-TreeCRFs86.6Nested Named Entity Recognition with Partially-Observed TreeCRFs
BoningKnife86.41BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge-
MGNER79.5Multi-Grained Named Entity Recognition
Second-best learning and decoding77.44Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
Hashing87.93To be Continuous, or to be Discrete, Those are Bits of Questions
Locate and Label87.41Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition-
DiffusionNER88.39DiffusionNER: Boundary Diffusion for Named Entity Recognition
BARTNER86.84A Unified Generative Framework for Various NER Subtasks
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