I have annotated 1600 examples for training a spancat_singlelabel component. In production some spans are missed/labled wrongly, probably because i annotated some examples wrong.
Whats the best practise to update my model? Should i just add those incorrectly labled examples to prodigy, annotate them and add them to my training data? I guess this would confuse the model if i dont have enough of those new examples.
Can i revisit certain examples and correct the annotations there? (In my case a certain string gets wrongly labled so i would only want to reannotate data thats containing that string)