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From James Kosin <>
Subject Re: OpenNLP 1.5.3 RC 2 ready for testing
Date Fri, 15 Mar 2013 03:55:26 GMT
Hi William,

No, I think it will be fine.  The problem only lies in data where there 
is back to back names being tagged in the sentences.  The unfixed prior 
models would invalidly tag them with the wrong type... i.e.: both could 
be the same type such as person instead of the different types one 
person and the other maybe miscellaneous.

In some of the models; especially the combined Name Finder models that 
contained all the tags ... were affected most; since, the likelihood of 
back to back tags is higher.
In the English models there were 3 sentences that had improper tags 
before ... now have the correct tags with the fixes.  This improved the 
scores a bit.

It should produce identical models since the problem was with the output 
tagging and not with the training of the models.


On 3/14/2013 11:00 PM, William Colen wrote:
> Hi, James,
> Thank you for the warning. It didn't affect the test with the Leipzig
> corpus: the output from 1.5.2 and 1.5.3 are identical. Do you think we
> should better manually check the output?
> Thank you,
> William
> On Thu, Mar 14, 2013 at 12:09 AM, James Kosin <> wrote:
>> Hi all,
>> Note, that we will have some discrepancies in the model performance for
>> some of the tests in the NameFinder models due to OPENNLP-417 that fixes
>> the back-to-back name tags.
>> It should really be limited to the combined name tags; but, could also
>> affect others.
>> James
>> On 3/8/2013 9:11 AM, William Colen wrote:
>>> Hi all,
>>> Our second release candidate is ready for testing. RC1 failed to pass the
>>> initial quality check.
>>> The RC 2 can be downloaded from here:
>>> To use it in a maven build set the version for opennlp-tools or
>>> opennlp-uima to 1.5.3, and for opennlp-maxent to 3.0.3, and add this URL
>>> to
>>> your settings.xml file:
>>> orgapacheopennlp-005/<>
>>> The current test plan can be found here:
>>> Please sign up for tasks in the test plan.
>>> The release plan can be found here:
>>> The RC contains quite some changes, please refer to the contained issue
>>> list for details.
>>> William

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