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https://issues.apache.org/jira/browse/CTAKES-96?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pei Chen updated CTAKES-96:
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Fix Version/s: (was: future enhancement)
3.1-incubating
> Update Dependency Parser and Semantic Role Labeler - Thanks Jinho Choi and
> Lee Beecker
> --------------------------------------------------------------------------------------
>
> Key: CTAKES-96
> URL: https://issues.apache.org/jira/browse/CTAKES-96
> Project: cTAKES
> Issue Type: New Feature
> Reporter: Pei Chen
> Fix For: 3.1-incubating
>
>
> Update/create new wrappers for ClearNLP that have been trained on clinical
> notes (SHARP/MiPACQ).
> Some notes:
> the integration will be mostly switching to cTAKES types.
> Here are a few critical spots:
> In the tokenizer
> (https://code.google.com/p/cleartk/source/browse/cleartk-clearnlp/src/main/java/org/cleartk/clearnlp/Tokenizer.java),
> lines 96 and 106 are all that should need changing to switch to cTAKES
> Sentence and Token types.
> In the pos-tagger
> (https://code.google.com/p/cleartk/source/browse/cleartk-clearnlp/src/main/java/org/cleartk/clearnlp/PosTagger.java)
> most of the changes should be lines 109 and 116-118
> In the MP Analyzer
> (https://code.google.com/p/cleartk/source/browse/cleartk-clearnlp/src/main/java/org/cleartk/clearnlp/MPAnalyzer.java)
> the changes would be lines 122-124 to again use the cTAKES toke types.
> The Dependency Parser
> (https://code.google.com/p/cleartk/source/browse/cleartk-clearnlp/src/main/java/org/cleartk/clearnlp/DependencyParser.java)
> is a bit harder, but similar. I think you can step through and find
> instances of ClearTK types and swap them for the Dependency Relation types in
> cTAKES. Basically the code grabs the token, POS, and lemma data from the CAS
> and passes it onto Jinho's SRL. Then the work is in mapping that output back
> into CAS appropriate types.
> The Semantic Role Labeler
> (https://code.google.com/p/cleartk/source/browse/cleartk-clearnlp/src/main/java/org/cleartk/clearnlp/SemanticRoleLabeler.java)
> follows a similar flow. But also pulls out Dependency Parse information
> from the CAS. Then the work is in extracting the SRL arguments and
> predicates to put back into ClearTK CAS types.
> Lastly to get any idea of how these components are called in a UIMA pipeline,
> I would refer to the test cases, especailly the ClearNLP test case
> (https://code.google.com/p/cleartk/source/browse/cleartk-clearnlp/src/test/java/org/cleartk/clearnlp/ClearNLPTest.java)
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