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From james-mas...@apache.org
Subject svn commit: r1374307 - /incubator/ctakes/site/trunk/content/ctakes/index.mdtext
Date Fri, 17 Aug 2012 15:09:40 GMT
Author: james-masanz
Date: Fri Aug 17 15:09:40 2012
New Revision: 1374307

URL: http://svn.apache.org/viewvc?rev=1374307&view=rev
Log:
update description of context for named entities to match what is found by assertion module
as of cTAKES 2.0

Modified:
    incubator/ctakes/site/trunk/content/ctakes/index.mdtext

Modified: incubator/ctakes/site/trunk/content/ctakes/index.mdtext
URL: http://svn.apache.org/viewvc/incubator/ctakes/site/trunk/content/ctakes/index.mdtext?rev=1374307&r1=1374306&r2=1374307&view=diff
==============================================================================
--- incubator/ctakes/site/trunk/content/ctakes/index.mdtext (original)
+++ incubator/ctakes/site/trunk/content/ctakes/index.mdtext Fri Aug 17 15:09:40 2012
@@ -17,7 +17,7 @@ Notice:    Licensed to the Apache Softwa
            under the License.
 
 # Welcome to Apache cTAKES.
-Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source natural
language processing system for information extraction from electronic medical record clinical
free-text. It processes clinical notes, identifying types of clinical named entities — drugs,
diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity has
attributes for the text span, the ontology mapping code, context (family history of, current,
unrelated to patient), and negated/not negated.
+Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source natural
language processing system for information extraction from electronic medical record clinical
free-text. It processes clinical notes, identifying types of clinical named entities - medications,
diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named entity has
attributes for the text span, the ontology mapping code, subject (patient, family member,
etc.) and context (negated/not negated, conditional, generic).
 
 Apache cTAKES was built using the UIMA Unstructured Information Management Architecture framework
and OpenNLP natural language processing toolkit. Its components are specifically trained for
the clinical domain, and create rich linguistic and semantic annotations that can be utilized
by clinical decision support systems and clinical research.
 
@@ -25,7 +25,7 @@ These components include:
  
   - Sentence boundary detection (OpenNLP technology)
   - Tokenization (rule-based)
-  - Morphologic normalization (NLM’s LVG)
+  - Morphologic normalization (NLM's LVG)
   - POS tagging (OpenNLP technology)
   - Shallow parsing (OpenNLP technology)
   - Named Entity Recognition



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