Named Entity Recognition Ner On Ontonotes V5

Metrics

Results

Performance results of various models on this benchmark

Model Name	F1	Paper Title	Repository
Syn-LSTM + BERT (wo doc-context)	90.85	Better Feature Integration for Named Entity Recognition	-
DGLSTM-CRF + ELMo	89.88	Dependency-Guided LSTM-CRF for Named Entity Recognition	-
BiLSTM-LAN	88.16	Hierarchically-Refined Label Attention Network for Sequence Labeling	-
Bi-LSTM-CRF + Lexical Features	87.95	Robust Lexical Features for Improved Neural Network Named-Entity Recognition	-
PL-Marker	91.9	Packed Levitated Marker for Entity and Relation Extraction	-
Syn-LSTM (wo doc-context)	89.04	Better Feature Integration for Named Entity Recognition	-
BERT-MRC	91.11	A Unified MRC Framework for Named Entity Recognition	-
Hierarchical	87.98	Hierarchical Contextualized Representation for Named Entity Recognition	-
BiLSTM-CRF	86.99	Fast and Accurate Entity Recognition with Iterated Dilated Convolutions	-
DGLSTM-CRF (L=2)	88.52	Dependency-Guided LSTM-CRF for Named Entity Recognition	-
Joint Model	84.04	A Joint Model for Entity Analysis: Coreference, Typing, and Linking	-
Biaffine-NER	91.3	Named Entity Recognition as Dependency Parsing	-
CVT + Multi-Task + Large	88.81	Semi-Supervised Sequence Modeling with Cross-View Training	-
HSCRF + softdict	89.94	Towards Improving Neural Named Entity Recognition with Gazetteers
Att-BiLSTM-CNN	88.4	Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER	-
BARTNER	90.38	A Unified Generative Framework for Various NER Subtasks	-
NuNER	89.1	NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data	-
W2NER	90.50	Unified Named Entity Recognition as Word-Word Relation Classification	-
AESINER	90.32	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information	-
GRN	87.67	GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition	-

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