I have good results with perceptron, but +1 for CRF 2017-02-07 15:42 GMT+01:00 Russ, Daniel (NIH/CIT) [E] <dr...@mail.nih.gov>:
> Hi Jörn, > > > > I think the best entity recognition systems use CRF’s. At some point > we might want to consider adding them. As you know, ME classifiers suffer > from label bias problem (see Lafferty et. al<http://repository.upenn. > edu/cgi/viewcontent.cgi?article=1162&context=cis_papers>.) CRF’s deal > with that issue. I believe that perceptrons suffer from the same problem. > If you think the results are better, I have no problem. I think that our > long-term goal should be to add a CRF, and make it the default for the > NameFinder. > > > > Daniel > > > > > > On 2/6/17, 12:40 PM, "Joern Kottmann" <kottm...@gmail.com> wrote: > > > > Hello all, > > > > I would like to propose to switch the default training algorithm from > > maxent gis to perceptron for the Name Finder. In all the data sets I > > tried perceptron performs better than maxent gis and I believe that > > would be a much more sensible default. > > > > A user can always override the default by providing the algorithms > > parameter for training. > > > > What do you think? > > > > Jörn > > > > >
