We would like to warp up around 800 previously annotated (by labelers) data into a model and hope to improve it by manually looking into each label.
The current path we are taking right now:
db-in the annotations -->
ner.batch-train to build a model (adjust the combination to achieve the highest result) -->
ner-teach to manually
Deny each instance
How do we export the manually adjusted annotations to the previously trained model? Or is it possible to export these annotations to train a new model?