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
