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Step | Example | ||||||||||
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1. Navigate to the source downloads for a released version on SourceForge |
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2. Download the cTAKES-2.6.zip file. |
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3.
Linux:
This folder we will call <cTAKES_HOME>. You will need to refer to the directory later. |
Process documents using cTAKES
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Step | Example | |||||||||||||||
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1. Open a command prompt and change to the cTAKES_HOME directory.
Linux:
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2. Start the CAS Visual Debugger by running this command:
Linux:
The application may take a minute to start on slower hardware. |
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3. An analysis engine (AE) needs to be loaded in order to process text.
Click Open. |
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4. Copy the text in the example at the right (next cell) and paste the
| Dr. Nutritious | |||||||||||||||
3. From the menu bar, click Run -> Run AggregatePlaintextProcessor. |
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4. Named entities are now recognized in this clinical document. |
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Collection processing engine (CPE)
Step | Example | |||||||||||||||
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1. Open a command prompt and change to the cTAKES_HOME directory:
Linux:
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2. Start the collection processing engine by running this command:
Linux:
The application may take a minute to start on slower hardware. |
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3. This will bring up the Collection Processing Engine Configurator. In the Menu bar click File >Open CPE Descriptor |
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4. Navigate to the file
Click Open. |
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5. Click the Play button (green/blue play arrow near the bottom). |
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6. You should see that one document was processed. You did process a collection of documents. In this case the collection only contained one just to show how to do it. Close the results window. |
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7. Close the CPE application. You may be prompted to save changes. Since this was just a test you may click the No button. |
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8. Open a new command prompt and change to the <cTAKES_HOME> |
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9. To test the results there is a comparison tool that will help show that the results match expectations with the following syntax:
Where: <First File> is the first file to compare; <Second File> is the second file to compare; <diff-html> is where the results are written to | Windows:
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10. The resulting file will open for you. Look at the comparison to see the annotations resulting from this pipeline.
Linux:
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