[jira] Created: (OPENNLP-17) Add support for custom feature generator configuration embedded in the model package

["Jörn Kottmann (JIRA)" <ji...@apache.org>]

Add support for custom feature generator configuration embedded in the model package
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                 Key: OPENNLP-17
                 URL: https://issues.apache.org/jira/browse/OPENNLP-17
             Project: OpenNLP
          Issue Type: Improvement
          Components: Chunker, Name Finder, POS Tagger
    Affects Versions: tools-1.5.0-sourceforge
            Reporter: Jörn Kottmann


Add support for custom feature generator configuration embedded in the model package.

The configuration of the feature generators for the name finder component can be quite complex and the configuration must
be always done twice once for training and once for tagging. Doing it twice at two different points in time makes
the feature generation very error prone. Small mistakes lead to a drop in detection performance which might
be difficult to notice. 

To solve this issue add the configuration to the model, then it must only be specified during training and
can be loaded from the model during tagging.

Another advantage is that custom feature generation is difficult to use otherwise, because the integration
code must deal itself with setting up the feature generators. In some cases the user even does not have control
over the code, or does not want to change it, e.g. in the UIMA wrappers.

The same logic should be used for the POS Tagger and Chunker.

The issues is migrated from SourceForge:
https://sourceforge.net/tracker/?func=detail&aid=1941380&group_id=3368&atid=353368

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