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SOTA
命名实体识别 (NER)
Named Entity Recognition Ner On Ontonotes V5
Named Entity Recognition Ner On Ontonotes V5
评估指标
F1
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
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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