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From Jörn Kottmann (JIRA) <...@uima.apache.org>
Subject [jira] Closed: (UIMA-1875) ability to visualize and quickly update/add values to primitive features
Date Fri, 03 Dec 2010 10:59:12 GMT

     [ https://issues.apache.org/jira/browse/UIMA-1875?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Jörn Kottmann closed UIMA-1875.

> ability to visualize and quickly update/add values to primitive features
> ------------------------------------------------------------------------
>                 Key: UIMA-1875
>                 URL: https://issues.apache.org/jira/browse/UIMA-1875
>             Project: UIMA
>          Issue Type: New Feature
>          Components: CasEditor
>            Reporter: Philip Ogren
>            Assignee: Jörn Kottmann
>             Fix For: 2.3.1SDK
>         Attachments: CasEditor-TagDrawingStrategy.tiff, CasEditor-TagDrawingStrategyOverlap.tiff
> I spent a bit of time evaluating the CAS Editor recently and have the following suggestion.
 It is common to have annotation tasks in which adding a primitive value to a annotation feature
happens frequently.  Here's one common annotation task - part-of-speech tagging.  Usually,
the way this task is performed is a part-of-speech tagger is run on some data and a part-of-speech
tag is added as a string value to a feature of a token type.  The annotator's task is then
to look at the part-of-speech tags and make sure they look right and fix the ones that aren't.
 However, the only way to see the part-of-speech tag is by clicking on the token annotation
in the text and view the value of the feature in the editor view.  This makes the tool really
unusable for this annotation task.  What would be really nice is to be able to display the
part-of-speech tags above or below the tokens so that the linguist can scan the sentence with
its tags and quickly find the errors.  
> There are a number of other annotation tasks that have similar requirements.  For example,
named entities usually have category labels which would be nice to display.  Word sense disambiguation
data is also similar.  

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