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https://issues.apache.org/jira/browse/OPENNLP-17?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12990042#comment-12990042
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Thilo Goetz commented on OPENNLP-17:
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The other issue with object serialization is that it only works well when
you're serializing/deserializing on the same machine with the same JVM. As
soon as you want to give the serialized object to somebody else, you're in
trouble.
> Add support for custom feature generator configuration embedded in the model
> package
> ------------------------------------------------------------------------------------
>
> 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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