i am trying to improve my ner model adding annotations.
The problem is that the corpus is the same, so when i update() the model passing 10 annotations (first time) then i re-process the same document passing 10 + (5 new annotations). This “method” works. I mean, Spacy will always see all the annotations for each document i use, but, what happen if i use ner.batch-train with --label parameter? Does spacy will only see the label i would like to improve without all the other annotations of the same document?
If yes i think it will decrease (a lot) the accuracy for the other labels.
What are the correct steps to follow to improve the accuracy of a single label WITH sentences that have been already used for training?