Hi Jörn,
I decided that I would try building the latest code for the CasEditor
and take a look at your recent changes and poke around the code a bit.
I was able to checkout the uima code with subversion, build it with
maven, and import the projects into eclipse. Now I'm not sure what to
do next. Do you use the Eclipse PDE when you are experimenting with the
Cas Editor plugin - or do you restart eclipse after copying the new
version of the plugin to your plugins directory? Any hints about this
would be great. I don't now remember my other question - must be
getting late!
Thanks,
Philip
On 12/1/2010 5:14 PM, Jörn Kottmann (JIRA) wrote:
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https://issues.apache.org/jira/browse/UIMA-1875?page=com.atlassian..jira.plugin.system.issuetabpanels:all-tabpanel
]
Jörn Kottmann updated UIMA-1875:
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Fix Version/s: 2.3.1SDK
ability to visualize and quickly update/add values to primitive features
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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.