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Named Entity Recognition On Findvehicle

Metrics

F1

Results

Performance results of various models on this benchmark

Paper TitleRepository
UniNER-7B98.3UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
FLERT-FLERT: Document-Level Features for Named Entity Recognition
BiLSTM-CRF-Bidirectional LSTM-CRF Models for Sequence Tagging
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Named Entity Recognition On Findvehicle | SOTA | HyperAI