I understand that Stanford NER only supports training through a file... is there a way to add more training data at a later stage to update the NER model once it is already trained?
I understand that I can keep all the training datasets from the past and re-train the model, but, I am wondering if there is a way to update the NER model rather than retrain it from scratch.
