For some reasons, I seem to remember the older version of Rasa NLU allowed the use of multiple NER engines in the NLU pipeline. If a NE has been recognized by multiple NER engines, then the one with the highest certainty value will be retained. But I can’t find any information on this (and I am actually not sure if I have actually read about this before either…).
Anyway, long story short, I would be interested in incorporating multiple NER components (along with training my own TF) in my pipeline since each one of them brings something unique to the table. But the current documentation makes no mention of doing this or if that’s permissible or advised…
And if it is supported, any particular concern about how to structure the pipeline?
Thanks in advance for your input!