Untagging and "accept" versus "reject"

[doj]

Hi Ines! Thank you so much for your thorough reply and for all your support in these forums. This is helpful and makes sense. Great to hear about further support for "negative" samples.

I've also taken a look at the following thread, which has been helpful about when to reject samples:

Ambiguous NER annotation decisions

Ah okay, sorry! The ner.teach recipe works especially well if you’re looking to correct the entity predictions more generally – i.e. with the goal of having your application make less errors overall. If you want to make more passes over the data and suggest analyses “until Prodigy gets it right”, check out the ner.make-gold recipe (see here for details). The recipe helps you create progressively more correct, gold-standard annotations by looping over the data, and suggesting different analyses …

Could you please elaborate on the difference between IGNORE and REJECT in the current version?

Specifically, if we are using the Review recipe, what is the difference between reject and ignore? And if we are using the Teach recipe, is there a difference between reject and ignore?

Thanks again for your help