Named Entity Recognition On Nemo Corpus Token 1
Metrics
F1
Results
Performance results of various models on this benchmark
Model Name | F1 | Paper Title | Repository |
|---|---|---|---|
| AlephBERT-base | 84.91 | AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With | |
| LSTM-CharLSTM-CRF token-multi | 77.75 | Neural Modeling for Named Entities and Morphology (NEMO^2) |
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