Thank you Daniel! Hmm ok... I will try to guess what features are the most important :)
2018-01-30 18:19 GMT+01:00 Dan Russ <[email protected]>: > 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 <[email protected]> > 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 > >
