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Chinese Named Entity Recognition On Weibo Ner

Métriques

F1

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1	Paper Title	Repository
Lattice	58.79	Chinese NER Using Lattice LSTM	-
TENER	58.17	TENER: Adapting Transformer Encoder for Named Entity Recognition	-
SLK-NER	64	SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER	-
FLAT+BERT	68.55	FLAT: Chinese NER Using Flat-Lattice Transformer	-
FGN	71.25	FGN: Fusion Glyph Network for Chinese Named Entity Recognition	-
Glyce + BERT	67.6	Glyce: Glyph-vectors for Chinese Character Representations	-
Locate and Label	69.16	Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition	-
AESINER	69.78	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information	-
Collaborative Graph Network	63.09	Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
Baseline + BS	72.66	Boundary Smoothing for Named Entity Recognition	-
BERT-BiLSTM-context	70.98	Supplementary Features of BiLSTM for Enhanced Sequence Labeling	-
BiLSTM+CRF+adversarial+self-attention	53.08	Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
SA-NER	69.8	Named Entity Recognition for Social Media Texts with Semantic Augmentation	-
FLAT	60.32	FLAT: Chinese NER Using Flat-Lattice Transformer	-
BERT-CRF (Replicated in AdaSeq)	72.77	Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning	-
CAN-NER Model	-	CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition	-
LSTM + Lexicon augment	61.24	Simplify the Usage of Lexicon in Chinese NER	-
NFLAT	61.94	NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition	-

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Chinese Named Entity Recognition On Weibo Ner | SOTA | HyperAI