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https://issues.apache.org/jira/browse/TIKA-1642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14577210#comment-14577210
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Chris A. Mattmann commented on TIKA-1642:
-----------------------------------------

Sorry Nick was going to reformat this once I committed it (I have the code 
formatting in Eclipse, but committed this from the command line), but honestly 
forgot. RE: the unit tests, yes, need to do so on this, but ran into some 
trickiness with the classpath(s). Unit tests are a future improvement here 
probably made easier when this becomes an ExternalParser.

> Integrate cTAKES into Tika
> --------------------------
>
>                 Key: TIKA-1642
>                 URL: https://issues.apache.org/jira/browse/TIKA-1642
>             Project: Tika
>          Issue Type: Improvement
>          Components: parser
>            Reporter: Selina Chu
>            Assignee: Chris A. Mattmann
>             Fix For: 1.9
>
>
> [~gostep] has written a preliminary version of 
> [CTAKESContentHandler|https://github.com/giuseppetotaro/CTAKESContentHadler] 
> to integrate [Apache cTAKES|http://ctakes.apache.org/] into Tika.
> The CTAKESContentHandler allows to perform the following step into Tika:
> * create an AnalysisEngine based on a given XML descriptor;
> * create a CAS (Common Analysis System) appropriate for this AnalysisEngine;
> * populate the CAS with the text extracted by using Tika;
> * perform the AnalysisEngine against the plain text added to CAS;
> * write out the results in the given format (XML, XCAS, XMI, etc.).
> It would be great improvement if we can parse the output of cTAKES and create 
> a list of metadata which describes the terms found in the annotation index 
> and their corresponding tokens. For instance, using the 
> AggregatePlaintextFastUMLSProcessor analysis engine, we can utilize the UMLS 
> database to obtain the annotations related to DiseaseDisorderMention, and I 
> would like to be able to produce a list of words corresponding to the input 
> text which is annotated as DiseaseDisorderMention.



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