Hi Zakir, In order for me to help you, I need to know more about: Your primary dictionary: LookupXml=org/apache/ctakes/dictionary/lookup/fast/tinyDictSpec.xml
Your custom dictionary lookup #1: add org.apache.ctakes.raxactakes.dictionary.lookup2.ae.RaxaJCasTermAnnotator LookupXml=org/apache/ctakes/dictionary/lookup/fast/drugConcept.xml Your custom dictionary lookup #2: add org.apache.ctakes.raxactakes.dictionary.lookup2.ae.RaxaJCasTermAnnotator LookupXml=org/apache/ctakes/dictionary/lookup/fast/personName.xml As for your metrics, >For lookup span value of 3 (default), rest call was taking less than 2s for text like ( Systolic blood pressure 180 ) is now taking around 5s. Does this mean that a document containing such text took 2 seconds, or that averaging over discovered annotations per took 2 seconds? I realize that moving from 3 characters to 1 means that every "a" "to" "in" "of" "an" "1" "2" ... is used for lookup. However, that should not multiply the processing time *2.5 I have to wonder if the non-ctakes org.apache.ctakes.raxactakes.dictionary.lookup2.ae.RaxaDefaultJCasTermAnnotator is doing something suspect. Sean ________________________________________ From: Zakir Saifi <zakir.sa...@raxa.com> Sent: Thursday, February 21, 2019 12:18 AM To: dev@ctakes.apache.org Subject: Making Ctakes Faster after Changing default lookup span value [EXTERNAL] Hi Everyone, I am using Ctakes for Structuring some clinical Text. In my clinical text, there are single characters word like *P 90 (Pulse 90) *etc. I want Ctakes to detect those. Since the default minimum span detected by Ctakes is 3. I was not able to detect these concepts. Therefore I have changed the Value of the _minimumLookupSpan to 1. Now I am able to detect the one character word using Ctakes after adding them to my Custom Dictionary. My Problem is that after changing the value of _minimumLookupSpan, ctakes has become slow. I am using Ctakes-web-Rest (Rest Service using Ctakes). For lookup span value of 3 (default), rest call was taking less than 2s for text like ( Systolic blood pressure 180 ) is now taking around 5s. How can I make Ctakes faster?. Any configuration which helps to improve the performance without losing the current detection rate. Here is the content of my current Piper file. load DefaultFastPipeline add org.apache.ctakes.raxactakes.dictionary.lookup2.ae.RaxaDefaultJCasTermAnnotator LookupXml=org/apache/ctakes/dictionary/lookup/fast/tinyDictSpec.xml add LabValueFinder add org.apache.ctakes.raxactakes.dictionary.lookup2.ae.RaxaJCasTermAnnotator LookupXml=org/apache/ctakes/dictionary/lookup/fast/drugConcept.xml add org.apache.ctakes.drugner.ae.DrugMentionAnnotator STATUS_BOUNDARY_ANN_TYPE="org.apache.ctakes.typesystem.type.textsem.MedicationMention" add org.apache.ctakes.raxactakes.dictionary.lookup2.ae.RaxaJCasTermAnnotator LookupXml=org/apache/ctakes/dictionary/lookup/fast/personName.xml add org.apache.ctakes.raxactakes.core.ae.PersonNameFinder addDescription EventAnnotator addLogged BackwardsTimeAnnotator classifierJarPath=/org/apache/ctakes/temporal/ae/timeannotator/model.jar addLogged DocTimeRelAnnotator classifierJarPath=/org/apache/ctakes/temporal/ae/doctimerel/model.jar addLogged EventTimeRelationAnnotator classifierJarPath=/org/apache/ctakes/temporal/ae/eventtime/model.jar addLogged EventEventRelationAnnotator classifierJarPath=/org/apache/ctakes/temporal/ae/eventevent/model.jar addLogged ContextualModalityAnnotator classifierJarPath=/org/apache/ctakes/temporal/ae/contextualmodality/model.jar addLogged EventAnnotator classifierJarPath=/org/apache/ctakes/temporal/ae/eventannotator/model.jar -- Regards Zakir Saifi (Software Developer at Raxa)
