Updated Makefile
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4
Makefile
4
Makefile
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@ -80,6 +80,9 @@ build_spamdetect:
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build_translation:
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cd services/translation; python3 setup.py build; python3 setup.py sdist
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build_corenlp:
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cd services/corenlp; make build
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build:
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make build_nlpfr
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make build_his
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@ -89,6 +92,7 @@ build:
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make buid_translation
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make build_langdetect
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make build_spamdetect
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make build
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# ======================================================================================================================
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@ -41,4 +41,5 @@ make start_translate # Starts the translation server, runs on port 5603
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|--------------------------------|----------|------|
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| CoffeeHouse Language Detection | HTTP | 5606 |
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| CoffeeHouse Spam Detection | HTTP | 5601 |
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| CoffeeHouse Translate | HTTP | 5603 |
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| CoffeeHouse Translate | HTTP | 5603 |
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| CoffeeHouse CoreNLP | HTTP | 5604 |
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@ -0,0 +1,19 @@
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clean:
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rm -rf build
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build:
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# Building JAR
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mkdir build
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ant jar
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mv coffeehouse_corenlp.jar build/
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# Adding Libs
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cp lib/* build/
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cp liblocal/* build/
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# Updating models
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python3 update_model.py
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cp /var/resources/CoffeeHouseData-CoreNLP/* build/
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start:
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cd build; java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 5604 -timeout 15000
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@ -392,7 +392,7 @@
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</target>
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<target name="jar" depends="compile">
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<jar destfile="javanlp-core.jar">
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<jar destfile="coffeehouse_corenlp.jar">
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<fileset dir="${project.core}/classes" />
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</jar>
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</target>
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@ -408,7 +408,7 @@
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<macrodef name="buildjsp">
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<attribute name="webapp.path"/> <!-- where to find the .jsp files -->
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<attribute name="webapp.war"/> <!-- name of the .war to produce -->
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<attribute name="webapp.jar"/> <!-- probably javanlp-core.jar -->
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<attribute name="webapp.jar"/> <!-- probably coffeehouse_corenlp.jar -->
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<element name="webapp.lib"/> <!-- libs to include -->
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<element name="webapp.data"/> <!-- data files to include -->
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@ -465,7 +465,7 @@
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<war destfile="sutime.war"
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webxml="${source.path}/edu/stanford/nlp/time/suservlet/WEB-INF/web.xml">
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<lib dir=".">
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<include name="javanlp-core.jar"/>
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<include name="coffeehouse_corenlp.jar"/>
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</lib>
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<lib dir="${basedir}/lib">
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<include name="commons-lang3-3.1.jar"/>
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@ -494,7 +494,7 @@
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<war destfile="openie.war"
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webxml="${source.path}/edu/stanford/nlp/naturalli/demo/web.xml">
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<lib dir=".">
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<include name="javanlp-core.jar"/>
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<include name="coffeehouse_corenlp.jar"/>
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</lib>
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<zipfileset prefix="WEB-INF/data"
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file="/u/nlp/data/pos-tagger/distrib/english-left3words-distsim.tagger"/>
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@ -535,7 +535,7 @@
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description="build the parser webapp">
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<buildjsp webapp.path="edu/stanford/nlp/parser/webapp"
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webapp.war="parser.war"
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webapp.jar="javanlp-core.jar">
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webapp.jar="coffeehouse_corenlp.jar">
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<webapp.lib>
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<lib dir="/u/nlp/data/StanfordCoreNLPModels">
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<include name="stanford-spanish-corenlp-models-current.jar"/>
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@ -565,11 +565,11 @@
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description="build the ner webapp">
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<!-- This is built from a java servlet, not a jsp. -->
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<!-- The class needed for the results page will already be in
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javanlp-core.jar -->
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coffeehouse_corenlp.jar -->
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<war destfile="ner.war"
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webxml="${source.path}/edu/stanford/nlp/ie/ner/webapp/WEB-INF/web.xml">
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<lib dir=".">
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<include name="javanlp-core.jar"/>
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<include name="coffeehouse_corenlp.jar"/>
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</lib>
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<lib dir="${basedir}/lib">
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<include name="commons-lang3-3.1.jar"/>
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@ -595,11 +595,11 @@
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description="build the corenlp webapp">
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<!-- This is built from a java servlet, not a jsp. -->
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<!-- The class needed for the results page will already be in
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javanlp-core.jar -->
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coffeehouse_corenlp.jar -->
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<war destfile="corenlp.war"
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webxml="${source.path}/edu/stanford/nlp/pipeline/webapp/WEB-INF/web.xml">
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<lib dir=".">
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<include name="javanlp-core.jar"/>
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<include name="coffeehouse_corenlp.jar"/>
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</lib>
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<lib dir="${basedir}/lib">
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<include name="commons-lang3-3.1.jar"/>
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@ -647,7 +647,7 @@
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identifier="edu.stanford.nlp.trees.tregex.gui.TregexGUI"
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mainclassname="edu.stanford.nlp.trees.tregex.gui.TregexGUI">
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<runtime dir="${env.JAVA_HOME}" />
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<classpath file="javanlp-core.jar" />
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<classpath file="coffeehouse_corenlp.jar" />
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</bundleapp>
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</target>
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@ -0,0 +1,3 @@
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from resource_fetch import ResourceFetch
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rf = ResourceFetch()
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rf.fetch("Intellivoid", "CoffeeHouseData-CoreNLP")
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