Damiano, You are treading in some dangerous waters. You need to open up the black box of the model and peek inside. I open up the NER model and get the maxent model inside. I make the context using the feature generator, then I get the context map inside the maxent model to lookup the weights. I am grossly oversimplifying the process because otherwise I would be writing a treatise on OpenNLP. I would suggest looking at the find() method and align what that method does with my comments on the steps you need to take.
Hope it helps... Daniel > On Jan 30, 2018, at 12:10 PM, Damiano Porta <damianopo...@gmail.com> wrote: > > Hello everybody, > > how can we understand what are the most important features during the NER > process? I mean.. when the TokenNameFinder selects a label is it possible > to retrieve the most important features too ? > > Thanks > Damiano
