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https://issues.apache.org/jira/browse/OPENNLP-78?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13063650#comment-13063650
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James Kosin commented on OPENNLP-78:
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Jorn,
Yes, defer.
We would need (1) a way to allow the feature generator to create sentences with
random names insterted, masking names already there, or a way to allow the
feature generator to augment the decision process after training.
Next, (2) need a way to test and validate the feature generator.
Sorry, I'm swamped right now with thesis work. I just thought it would be
simple to implement and is turning a bit more difficult with the lack of time I
seem to have lately with summer.
James
> 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
>
> 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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