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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