ai-forever/bert-base-NER-reptile-5-datasets

BERT base uncased model pre-trained on 5 NER datasets

Model was trained by SberIDP. The pretraining process and technical details are described in this article.

• Task: Named Entity Recognition
• Base model: bert-base-uncased
• Training Data is 5 datasets: CoNLL-2003, WNUT17, JNLPBA, CoNLL-2012 (OntoNotes), BTC
• Testing was made in Few-Shot scenario on Few-NERD dataset using the model as a backbone for StructShot

The model is pretrained for NER task using Reptile and can be finetuned for new entities with only a small amount of samples.