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Named Entity Recognition Ner On Ontonotes V5

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Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Paper TitleRepository
BERT-MRC+DSC92.07Dice Loss for Data-imbalanced NLP Tasks
PL-Marker91.9Packed Levitated Marker for Entity and Relation Extraction
Baseline + BS91.74Boundary Smoothing for Named Entity Recognition
Biaffine-NER91.3Named Entity Recognition as Dependency Parsing
BERT-MRC91.11A Unified MRC Framework for Named Entity Recognition
PIQN90.96Parallel Instance Query Network for Named Entity Recognition
HGN90.92Hero-Gang Neural Model For Named Entity Recognition
Syn-LSTM + BERT (wo doc-context)90.85Better Feature Integration for Named Entity Recognition
DiffusionNER90.66DiffusionNER: Boundary Diffusion for Named Entity Recognition
W2NER90.50Unified Named Entity Recognition as Word-Word Relation Classification
BARTNER90.38A Unified Generative Framework for Various NER Subtasks
AESINER90.32Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Hierarchical + BERT90.30Hierarchical Contextualized Representation for Named Entity Recognition
HSCRF + softdict89.94Towards Improving Neural Named Entity Recognition with Gazetteers-
DGLSTM-CRF + ELMo89.88Dependency-Guided LSTM-CRF for Named Entity Recognition
NuNER89.1NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
Syn-LSTM (wo doc-context)89.04Better Feature Integration for Named Entity Recognition
CVT + Multi-Task + Large88.81Semi-Supervised Sequence Modeling with Cross-View Training
DGLSTM-CRF (L=2)88.52Dependency-Guided LSTM-CRF for Named Entity Recognition
Att-BiLSTM-CNN88.4Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
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