HyperAI

Named Entity Recognition Ner On Ontonotes V5

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
F1
Paper TitleRepository
Syn-LSTM + BERT (wo doc-context)90.85Better Feature Integration for Named Entity Recognition
DGLSTM-CRF + ELMo89.88Dependency-Guided LSTM-CRF for Named Entity Recognition
BiLSTM-LAN88.16Hierarchically-Refined Label Attention Network for Sequence Labeling
Bi-LSTM-CRF + Lexical Features87.95Robust Lexical Features for Improved Neural Network Named-Entity Recognition
PL-Marker91.9Packed Levitated Marker for Entity and Relation Extraction
Syn-LSTM (wo doc-context)89.04Better Feature Integration for Named Entity Recognition
BERT-MRC91.11A Unified MRC Framework for Named Entity Recognition
Hierarchical87.98Hierarchical Contextualized Representation for Named Entity Recognition
BiLSTM-CRF86.99Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
DGLSTM-CRF (L=2)88.52Dependency-Guided LSTM-CRF for Named Entity Recognition
Joint Model84.04A Joint Model for Entity Analysis: Coreference, Typing, and Linking-
Biaffine-NER91.3Named Entity Recognition as Dependency Parsing
CVT + Multi-Task + Large88.81Semi-Supervised Sequence Modeling with Cross-View Training
HSCRF + softdict89.94Towards Improving Neural Named Entity Recognition with Gazetteers
Att-BiLSTM-CNN88.4Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
BARTNER90.38A Unified Generative Framework for Various NER Subtasks
NuNER89.1NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
W2NER90.50Unified Named Entity Recognition as Word-Word Relation Classification
AESINER90.32Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
GRN87.67GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
0 of 28 row(s) selected.