Named Entity Recognition Ner On Nemo Corpus
Metrics
F1
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| AlephBERTGimmel-base MTL | 80.39 | Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All |
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