Hi @neuralpat, I’ve never tried this but I wonder whether you could fine-tune the existing NER model on a small corpus composed of a mix of the original annotation and the new ones you’d like to extend with (I think the mix is needed so the original model doesn’t forget the original entities)?
Alternatively you could try just fine-tuning on the new annotations (perhaps without dropout or weight decay) and then compare the two approaches