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https://issues.apache.org/jira/browse/OPENNLP-78?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13229414#comment-13229414
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Jim Piliouras commented on OPENNLP-78:
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The proposed feature would be simply awesome!!! If the 2 can be integrated into
a single object that implements "TokenNameFinderEvaluator" then the evaluator
will automatically work for the enhanced NER without any weird workarounds!!! I
think being able to get your statistics using both dictionary and maxent is a
massive improvement! In fact, i think i might be able to help with the code
starting from the 22th of March. OOP is not really my thing (lisp (corrupted?
me)) but i do have experience with Java...
Jim
> NameFinder and Dictionary Integration
> -------------------------------------
>
> Key: OPENNLP-78
> URL: https://issues.apache.org/jira/browse/OPENNLP-78
> Project: OpenNLP
> Issue Type: New Feature
> Components: Name Finder
> Environment: Windows 7
> Reporter: James Kosin
> Assignee: James Kosin
> Priority: Minor
>
> Now that we have a NameFinder Dictionary and improved NameFinder tools; it
> would be nice to be able to integrate the dictionary and model to help
> improve the finding of names.
> This way, the name finder could be trained more on the surrounding text
> instead of attempting to memorize common names in the news that occur
> frequently.
> I've already got the name finder corpus, created the dictionaries with the
> data from the US Census.
> I just need to implement some method to help train the model; or be able to
> use the dictionaries post model creation to help with the finding of names.
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