On 10/26/2013 05:07 PM, [email protected] wrote:
Can we have one training set covering all types of entitles, eg places and names?

Yes, the Name Finder Trainer can filter out types you don't want in a model,
or it is possible to train a model for all types at once, the standard approach is to make one model per type, but depending on the data multiple types per model
work too.

The built-in evaluation can tell you how well the models work via cross validation on
your training data, or if available on a test data set.

Jörn

Reply via email to