In addition to my main question, I’m hoping to understand how to build a good workflow for my problem.
I have a new tag I’d like to train (a particular set of names, company and persons only) in documents. I’ve split a few of those documents into sentences and I’m feeding them into
As I understood
ner.teach, it’s good to have somewhat equal balance between positive and negative examples. How does this work for
My guess is that the workflow should be like so:
ner.teach based on the manual tags from before
Alternatively, I also tried this workflow:
But this one sort of focused a lot more on the person names instead of company names, I suppose given that the word vectors are better trained on the former. I can’t exactly be sure of this though.