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From "Miller, Timothy" <Timothy.Mil...@childrens.harvard.edu>
Subject Re: OpenNLP VS UIMA, general question.
Date Tue, 19 May 2015 17:31:12 GMT
Yes James, I believe that is still true for POS tags, maybe for chunks.
Thanks for pointing out that complication.

On 05/19/2015 12:52 PM, Masanz, James J. wrote:
> Damir,
> Be aware the original POS and chunker models in cTAKES were built using text tokenized
the way cTAKES tokenizes text.  That might not work as well on text tokenized using a different
> Tim, is that still true of the current POS models in Apache cTAKES?
> -- James
> -----Original Message-----
> From: Damir Olejar [mailto:olejar.damir@gmail.com] 
> Sent: Tuesday, May 19, 2015 10:03 AM
> To: dev@ctakes.apache.org
> Subject: Re: OpenNLP VS UIMA, general question.
> Yes, that is exactly what I was asking!
> Thank you, and sorry for not being more thorough with the questions, as I
> am new to cTakes.
> Damir
> On Tue, May 19, 2015 at 10:51 AM, Miller, Timothy <
> Timothy.Miller@childrens.harvard.edu> wrote:
>> I'm not totally sure I understand your question. But if you are asking
>> if it's possible to use the clinical-trained OpenNLP models released
>> with cTAKES without using UIMA, yes, it should be possible. Some of the
>> cTAKES modules simply wrap OpenNLP APIs, and convert the
>> POS-tagged/Chunked/Parsed output into the UIMA typesystem.
>> Or are you asking if you can write a UIMA annotator that consumes
>> OpenNLP annotations rather than cTAKES' UIMA-based annotations? That is
>> possible too, though would definitely add complexity to a UIMA pipeline.
>> Tim
>> On 05/19/2015 10:08 AM, Damir Olejar wrote:
>>> To whom it may concern,
>>> I would like to ask whether it is possible to have a code written for
>>> OpenNLP and then, if necessary, integrate it with UIMA.  Furthermore, is
>> it
>>> possible to go from UIMA to OpenNLP ? For example, I am interested in a
>>> medical analysis with cTakes, but I cannot find a way how to do it using
>>> only the OpenNLP.
>>> The reason why I want to rely on OpenNLP as much as possible, is simply
>> due
>>> to a complexity of applications I am developing, and UIMA would simply
>>> complicate everything without a necessity.
>>> Thank you kindly for your answers!
>>> Damir Olejar

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