Thanks for the quick response. How much does the performance suffer in relation to performance of model(s) trained for each class separately?
Thank you. On Fri, Dec 19, 2014 at 1:50 PM, Jörn Kottmann <[email protected]> wrote: > > The code path itself is stable, the reason we put it there is that > it didn't have a good performance on the English data. > > Anyway, there performance might highly depend on your data set and > the language. > > Give it a try. > > Jörn > > > > On 12/19/2014 09:01 AM, Vihari Piratla wrote: > >> Hello OpenNLP dev community, >> http://opennlp.apache.org/documentation/1.5.3/manual/ >> opennlp.html#tools.namefind.training.tool >> says: >> For now it's recommended to only train single type models, since multi >> type >> support is still experimental. >> Can you please let me know the status of this feature now?, and also what >> are some problems in using this experimental multi-type support? >> What all are standing in the way to make this support stable etc. >> >> Thank you. >> > > -- V
