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Posted to commits@ctakes.apache.org by ch...@apache.org on 2012/12/04 16:55:07 UTC
svn commit: r1417005 -
/incubator/ctakes/site/trunk/content/ctakes/index.mdtext
Author: chenpei
Date: Tue Dec 4 15:55:06 2012
New Revision: 1417005
URL: http://svn.apache.org/viewvc?rev=1417005&view=rev
Log:
add a link to components
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=1417005&r1=1417004&r2=1417005&view=diff
==============================================================================
--- incubator/ctakes/site/trunk/content/ctakes/index.mdtext (original)
+++ incubator/ctakes/site/trunk/content/ctakes/index.mdtext Tue Dec 4 15:55:06 2012
@@ -21,7 +21,7 @@ Apache clinical Text Analysis and Knowle
Apache cTAKES was built using the Apache UIMA Unstructured Information Management Architecture engineering framework and Apache OpenNLP natural language processing toolkit. Its components are specifically trained for the clinical domain out of diverse manually annotated datasets, and create rich linguistic and semantic annotations that can be utilized by clinical decision support systems and clinical research. cTAKES has been used in a variety of use cases in the domain of biomedicine such as phenotype discovery, translational science, pharmacogenomics and pharmacogenetics.
-Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES components include:
+Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES [components](components.html) include:
1. Sentence boundary detection
1. Tokenization (rule-based)