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From "Jim Piliouras (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (OPENNLP-78) NameFinder and Dictionary Integration
Date Wed, 14 Mar 2012 17:40:39 GMT

    [ https://issues.apache.org/jira/browse/OPENNLP-78?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13229414#comment-13229414
] 

Jim Piliouras commented on OPENNLP-78:
--------------------------------------

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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