SentiSE

.classpath

@@ -0,0 +1,31 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<classpath>
+	<classpathentry kind="src" path="src"/>
+	<classpathentry kind="lib" path="libs/excel/commons-codec-1.10.jar"/>
+	<classpathentry kind="lib" path="libs/excel/commons-collections4-4.1.jar"/>
+	<classpathentry kind="lib" path="libs/excel/commons-logging-1.2.jar"/>
+	<classpathentry kind="lib" path="libs/excel/curvesapi-1.04.jar"/>
+	<classpathentry kind="lib" path="libs/excel/junit-4.12.jar"/>
+	<classpathentry kind="lib" path="libs/excel/log4j-1.2.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/poi-3.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/poi-examples-3.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/poi-excelant-3.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/poi-ooxml-3.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/poi-ooxml-schemas-3.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/poi-scratchpad-3.17.jar"/>
+	<classpathentry kind="lib" path="libs/excel/xmlbeans-2.6.0.jar"/>
+	<classpathentry kind="lib" path="libs/mysql-connector-java-5.1.41.jar"/>
+	<classpathentry kind="lib" path="libs/SMOTE.jar"/>
+	<classpathentry kind="lib" path="libs/snowball-stemmer-1.3.0.581.1.jar"/>
+	<classpathentry kind="lib" path="libs/stanford-corenlp-3.8.0.jar"/>
+	<classpathentry kind="lib" path="libs/stanford-parser.jar"/>
+	<classpathentry kind="lib" path="libs/stanford-postagger.jar"/>
+	<classpathentry kind="lib" path="libs/weka-src.jar"/>
+	<classpathentry kind="lib" path="libs/weka.jar"/>
+	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER"/>
+	<classpathentry kind="lib" path="libs/commons-cli-1.4.jar"/>
+	<classpathentry kind="lib" path="libs/mtj-1.0-snapshot.jar"/>
+	<classpathentry kind="lib" path="libs/NeuralNetwork.jar"/>
+	<classpathentry kind="lib" path="libs/opencsv-2.3.jar"/>
+	<classpathentry kind="output" path="bin"/>
+</classpath>

.gitattributes

@@ -33,3 +33,28 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger filter=lfs diff=lfs merge=lfs -text
+libs/excel/commons-codec-1.10.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/commons-collections4-4.1.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/junit-4.12.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/log4j-1.2.17.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/poi-3.17.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/poi-examples-3.17.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/poi-ooxml-3.17.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/poi-ooxml-schemas-3.17.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/poi-scratchpad-3.17.jar filter=lfs diff=lfs merge=lfs -text
+libs/excel/xmlbeans-2.6.0.jar filter=lfs diff=lfs merge=lfs -text
+libs/mtj-1.0-snapshot.jar filter=lfs diff=lfs merge=lfs -text
+libs/mysql-connector-java-5.1.41.jar filter=lfs diff=lfs merge=lfs -text
+libs/stanford-corenlp-3.8.0.jar filter=lfs diff=lfs merge=lfs -text
+libs/stanford-parser.jar filter=lfs diff=lfs merge=lfs -text
+libs/stanford-postagger.jar filter=lfs diff=lfs merge=lfs -text
+libs/weka-src.jar filter=lfs diff=lfs merge=lfs -text
+libs/weka.jar filter=lfs diff=lfs merge=lfs -text
+models/sentise-oracle-short.xlsx filter=lfs diff=lfs merge=lfs -text
+models/sentise-oracle1.xlsx filter=lfs diff=lfs merge=lfs -text
+models/sentise-oracle2.xlsx filter=lfs diff=lfs merge=lfs -text
+models/SentiWordNet_3.0.0_20130122.txt filter=lfs diff=lfs merge=lfs -text
+sentise.jar filter=lfs diff=lfs merge=lfs -text
+src/taggers/bidirectional-distsim-wsj-0-18.tagger filter=lfs diff=lfs merge=lfs -text
+src/taggers/english-left3words-distsim.tagger filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,25 @@
+# Compiled class file
+*.class
+
+# Log file
+*.log
+
+# BlueJ files
+*.ctxt
+
+# Mobile Tools for Java (J2ME)
+.mtj.tmp/
+
+# Package Files #
+*.war
+*.nar
+*.ear
+*.csss
+*.css
+*.html
+*.tar.gz
+*.rar
+*.scss
+
+# virtual machine crash logs, see http://www.java.com/en/download/help/error_hotspot.xml
+hs_err_pid*

.project

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>SentiSE</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>org.eclipse.jdt.core.javabuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.eclipse.jdt.core.javanature</nature>
+	</natures>
+</projectDescription>

.settings/org.eclipse.jdt.core.prefs

@@ -0,0 +1,12 @@
+eclipse.preferences.version=1
+org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
+org.eclipse.jdt.core.compiler.codegen.methodParameters=do not generate
+org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.8
+org.eclipse.jdt.core.compiler.codegen.unusedLocal=preserve
+org.eclipse.jdt.core.compiler.compliance=1.8
+org.eclipse.jdt.core.compiler.debug.lineNumber=generate
+org.eclipse.jdt.core.compiler.debug.localVariable=generate
+org.eclipse.jdt.core.compiler.debug.sourceFile=generate
+org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
+org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
+org.eclipse.jdt.core.compiler.source=1.8

LICENSE

@@ -0,0 +1,165 @@
+					GNU LESSER GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+
+  This version of the GNU Lesser General Public License incorporates
+the terms and conditions of version 3 of the GNU General Public
+License, supplemented by the additional permissions listed below.
+
+  0. Additional Definitions.
+
+  As used herein, "this License" refers to version 3 of the GNU Lesser
+General Public License, and the "GNU GPL" refers to version 3 of the GNU
+General Public License.
+
+  "The Library" refers to a covered work governed by this License,
+other than an Application or a Combined Work as defined below.
+
+  An "Application" is any work that makes use of an interface provided
+by the Library, but which is not otherwise based on the Library.
+Defining a subclass of a class defined by the Library is deemed a mode
+of using an interface provided by the Library.
+
+  A "Combined Work" is a work produced by combining or linking an
+Application with the Library.  The particular version of the Library
+with which the Combined Work was made is also called the "Linked
+Version".
+
+  The "Minimal Corresponding Source" for a Combined Work means the
+Corresponding Source for the Combined Work, excluding any source code
+for portions of the Combined Work that, considered in isolation, are
+based on the Application, and not on the Linked Version.
+
+  The "Corresponding Application Code" for a Combined Work means the
+object code and/or source code for the Application, including any data
+and utility programs needed for reproducing the Combined Work from the
+Application, but excluding the System Libraries of the Combined Work.
+
+  1. Exception to Section 3 of the GNU GPL.
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+  You may convey a covered work under sections 3 and 4 of this License
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+  2. Conveying Modified Versions.
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+  If you modify a copy of the Library, and, in your modifications, a
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+   a) under this License, provided that you make a good faith effort to
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+   b) under the GNU GPL, with none of the additional permissions of
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+  3. Object Code Incorporating Material from Library Header Files.
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+   a) Give prominent notice with each copy of the object code that the
+   Library is used in it and that the Library and its use are
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+  4. Combined Works.
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+   a) Give prominent notice with each copy of the Combined Work that
+   the Library is used in it and that the Library and its use are
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+   c) For a Combined Work that displays copyright notices during
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+       Corresponding Source.
+
+       1) Use a suitable shared library mechanism for linking with the
+       Library.  A suitable mechanism is one that (a) uses at run time
+       a copy of the Library already present on the user's computer
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+   e) Provide Installation Information, but only if you would otherwise
+   be required to provide such information under section 6 of the
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+   Combined Work produced by recombining or relinking the
+   Application with a modified version of the Linked Version. (If
+   you use option 4d0, the Installation Information must accompany
+   the Minimal Corresponding Source and Corresponding Application
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+   Information in the manner specified by section 6 of the GNU GPL
+   for conveying Corresponding Source.)
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+  5. Combined Libraries.
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+  You may place library facilities that are a work based on the
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+facilities that are not Applications and are not covered by this
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+choice, if you do both of the following:
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+   a) Accompany the combined library with a copy of the same work based
+   on the Library, uncombined with any other library facilities,
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+   b) Give prominent notice with the combined library that part of it
+   is a work based on the Library, and explaining where to find the
+   accompanying uncombined form of the same work.
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+  6. Revised Versions of the GNU Lesser General Public License.
+
+  The Free Software Foundation may publish revised and/or new versions
+of the GNU Lesser General Public License from time to time. Such new
+versions will be similar in spirit to the present version, but may
+differ in detail to address new problems or concerns.
+
+  Each version is given a distinguishing version number. If the
+Library as you received it specifies that a certain numbered version
+of the GNU Lesser General Public License "or any later version"
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+conditions either of that published version or of any later version
+published by the Free Software Foundation. If the Library as you
+received it does not specify a version number of the GNU Lesser
+General Public License, you may choose any version of the GNU Lesser
+General Public License ever published by the Free Software Foundation.
+
+  If the Library as you received it specifies that a proxy can decide
+whether future versions of the GNU Lesser General Public License shall
+apply, that proxy's public statement of acceptance of any version is
+permanent authorization for you to choose that version for the
+Library.

README.md

@@ -0,0 +1,27 @@
+# SentiSE
+SentiSE is a sentiment analysis tool for Software Engineering interactions
+
+SentiSE, a supervised learning based sentiment analysis tool that incorporates ten supervised learning algorithms and 
+fourteen different optional pre-processing steps that are commonly used to improve the performance of sentiment analysis tools. 
+We empirically evaluated each of the algorithms and preprocessing steps to determine the best configuration. 
+We evaluated SentiSE using a large-scale labeled dataset of 13K comments from three different types of SE interactions.
+<br><br>
+**Performance Evaluation:**
+We compare SentiSE with other sentiment analysis tool available in software engineering domain.  We use two dataset for this evaluation.  _Orcale1_ with 13 k labeled dataset with 21% positive, 60% neutral and 19% negative data and _Oracle2_ with 30% positive, 40% neutral and 30% negative data. Table bellow shows the performance comparison:
+
+| Oracle | tool  |Precision<br> (Positive) | Recall<br> (Positive) | F-measure<br> (Positive) | Precision<br> (Positive) | Recall<br> (Positive) | F-measure<br> (Positive) |  Precision<br> (Positive) | Recall<br> (Positive) | F-measure<br> (Positive) | Accuracy | Weighted <br> Kappa |
+|--|--| -- | -- |  -- | -- | --|  -- | -- | --|  -- | -- | --|
+|_Orcal1_|SentiSE  | 85.63% | 75.27% | 80.11% | 81.51% | 92.78% | 86.78% | 81.03% | 55.92%|66.16%|82.23%|0.681
+|_Oracle1_| SentiCR |  81.81% | 76.59%|  79.04%|  80.04% | 92.77% | 85.92%  | 82.71% | 46.38% | 59.40% | 80.6655% | 0.647
+|_Oracle1_| SentiStrength-SE |  75.81% | 81.45% | 78.53% | 84.68% | 83.64% | 84.16% | 66.50% | 63.42% | 64.92% | 79.32% | 0.6587
+|_Oracle2_| SentiSE | 88.83% | 85.09% | 86.92% | 86.62% | 91.52% | 89.00% | 85.87% | 78.61% | 82.07% | 86.92% | 0.788
+|_Oracle2_|SentiCR |  84.32% | 84.73% | 84.50% | 80.70% | 92.08% | 86.00%  | 86.45% | 59.49\% | 70.40%  | 82.47% | 0.716
+|_Oracle2_| SentiStrength-SE | 79.56% | 83.57% | 81.52% | 80.73% | 84.15% | 82.41% | 80.41% | 69.31% | 74.45% | 80.34% | 0. 696
+
+<br><br><br>
+**Usage Instructions:**
+Downaload and import SentiSe Project. Run the build.xml file and generate the sentise.jar. SentiSE is a commandline base tool. Use the command <code> java -jar sentise.jar -help</code> to find all the commands avialable in sentiSE.
+
+<br><br>
+**ScreenShot**
+![SentiSE-cli](https://github.com/amiangshu/SentiSE/blob/tanzeerH-readme/models/cli.png)

bin/.gitignore

@@ -0,0 +1,3 @@
+/edu/
+/taggers/
+/weka/

build.xml

@@ -0,0 +1,77 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<project default="jar" name="SentiSE Builder" >
+	<property name="src.dir"     value="src"/>
+
+	    <property name="build.dir"   value="build"/>
+	    <property name="classes.dir" value="${build.dir}/bin"/>
+	    <property name="jar.dir"     value="${class.dir}"/>
+	<property name="dir.jarfile" value="./"/>
+	    <property name="main-class"  value="edu.siu.sentise.SentiSE"/>
+
+	<path id="libs-class">
+	  <fileset dir="./libs">
+	    <include name="*.jar"/>
+	  </fileset>
+		</path>
+	
+	<path id="excel-class">
+		  <fileset dir="./libs/excel">
+		    <include name="*.jar"/>
+		  </fileset>
+			</path>
+
+	
+	<target name="clean">
+	        <delete dir="${build.dir}"/>
+	    </target>
+
+	    <target name="compile">
+	        <mkdir dir="${classes.dir}"/>
+	    	 <mkdir dir="${build.dir}"/>
+	    	
+	        <javac  destdir="${classes.dir}" includeantruntime="false" >
+	        	<classpath refid="libs-class"/>
+	        	<classpath refid="excel-class"/>
+	        	<src path="${src.dir}"/>
+	    	
+	    	</javac>
+	    </target>
+
+	    
+
+    <target name="jar" depends="compile">
+        <jar destfile="${jar.dir}/sentise.jar">
+            <manifest>
+                <attribute name="Main-Class" value="org.eclipse.jdt.internal.jarinjarloader.JarRsrcLoader"/>
+                <attribute name="Rsrc-Main-Class" value="edu.sentise.SentiSE"/>
+                <attribute name="Class-Path" value="."/>
+                <attribute name="Rsrc-Class-Path" value="./ mysql-connector-java-5.1.41.jar SMOTE.jar snowball-stemmer-1.3.0.581.1.jar stanford-corenlp-3.8.0.jar stanford-parser.jar stanford-postagger.jar weka-src.jar weka.jar commons-codec-1.10.jar commons-collections4-4.1.jar junit-4.12.jar log4j-1.2.17.jar poi-3.17.jar poi-examples-3.17.jar poi-excelant-3.17.jar poi-ooxml-3.17.jar poi-ooxml-schemas-3.17.jar poi-scratchpad-3.17.jar xmlbeans-2.6.0.jar commons-cli-1.4.jar mtj-1.0-snapshot.jar opencsv-2.3.jar NeuralNetwork.jar"/>
+            </manifest>
+            <zipfileset src="jar-in-jar-loader.zip"/>
+            <fileset dir="${dir.jarfile}/bin"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="mysql-connector-java-5.1.41.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="SMOTE.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="snowball-stemmer-1.3.0.581.1.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="stanford-corenlp-3.8.0.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="stanford-parser.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="stanford-postagger.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="weka-src.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="weka.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="commons-codec-1.10.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="commons-collections4-4.1.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="junit-4.12.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="log4j-1.2.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="poi-3.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="poi-examples-3.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="poi-excelant-3.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="poi-ooxml-3.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="poi-ooxml-schemas-3.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="poi-scratchpad-3.17.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs/excel" includes="xmlbeans-2.6.0.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="commons-cli-1.4.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="mtj-1.0-snapshot.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="opencsv-2.3.jar"/>
+            <zipfileset dir="${dir.jarfile}/libs" includes="NeuralNetwork.jar"/>
+        </jar>
+    </target>
+</project>

edu/stanford/nlp/models/lexparser/englishPCFG.caseless.ser.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:defb4d91b899c4f92ea605f026c57408c4d3df1fb371b50f2d055ace782cbc1e
+size 1769534

edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ed674cce7311f76c018806e61cdb045e219258ee30014da4e3e686b9230ebea9
+size 1883795

edu/stanford/nlp/models/ner/english.all.3class.caseless.distsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c9a504ad8f82f415ad64ce96478c59788355d8096edc96ccb8b43289739f2f1
+size 37319863

edu/stanford/nlp/models/ner/english.all.3class.caseless.distsim.prop

@@ -0,0 +1,61 @@
+# trainFileList = /u/nlp/data/ner/column_data/all.3class.train.old2,/u/nlp/data/ner/column_data/english.extra.3class.train
+trainFileList = /u/nlp/data/ner/column_data/ace23.3class.train,/u/nlp/data/ner/column_data/muc6.3class.ptb.train,/u/nlp/data/ner/column_data/muc7.3class.ptb.train,/u/nlp/data/ner/column_data/conll.3class.train,/u/nlp/data/ner/column_data/wikiner.3class.train,/u/nlp/data/ner/column_data/ontonotes.3class.train,/u/nlp/data/ner/column_data/english.extra.3class.train
+testFiles = /u/nlp/data/ner/column_data/all.3class.test,/u/nlp/data/ner/column_data/all.3class.upper.test,/u/nlp/data/ner/column_data/all.3class.lower.test
+# testFile = uppercase.tsv
+serializeTo = english.all.3class.caseless.distsim.crf.ser.gz
+
+type = crf
+
+wordFunction = edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
+useKnownLCWords = false
+
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+# right options for egw4-reut.512 (though effect of having or not is small)
+numberEquivalenceDistSim = true
+unknownWordDistSimClass = 0
+useDistSim = true
+
+map = word=0,answer=1
+
+# saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+maxLeft=1
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05
+

edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:65905fe1bbba47d0ac2b468e63d91cfde72dce0a7261345e015c45fab9cff93f
+size 31985042

edu/stanford/nlp/models/ner/english.all.3class.distsim.prop

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+# trainFileList = /u/nlp/data/ner/column_data/all.3class.train.old2,/u/nlp/data/ner/column_data/english.extra.3class.train
+trainFileList = /u/nlp/data/ner/column_data/ace23.3class.train,/u/nlp/data/ner/column_data/muc6.3class.ptb.train,/u/nlp/data/ner/column_data/muc7.3class.ptb.train,/u/nlp/data/ner/column_data/conll.3class.train,/u/nlp/data/ner/column_data/wikiner.3class.train,/u/nlp/data/ner/column_data/ontonotes.3class.train,/u/nlp/data/ner/column_data/english.extra.3class.train
+testFile = /u/nlp/data/ner/column_data/all.3class.test
+serializeTo = english.all.3class.distsim.crf.ser.gz
+
+type = crf
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+# right options for egw4-reut.512 (though effect of having or not is small)
+numberEquivalenceDistSim = true
+unknownWordDistSimClass = 0
+useDistSim = true
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+maxLeft=1
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.all.3class.nodistsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:77339de3c30111b12302d331d97b24304fdf537258e3b6007a1e6e96390ce9b2
+size 23179051

edu/stanford/nlp/models/ner/english.all.3class.nodistsim.prop

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+trainFileList = /u/nlp/data/ner/column_data/all.3class.train.old2,/u/nlp/data/ner/column_data/english.extra.3class.train
+testFile = /u/nlp/data/ner/column_data/all.3class.test
+serializeTo = english.all.3class.nodistsim.crf.ser.gz
+
+type = crf
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200.pruned
+useDistSim = false
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.conll.4class.caseless.distsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2073dcfff4061549fe6aa6b6fd22246ae6bad28c819c6806d690ad3c1e383c8d
+size 21421444

edu/stanford/nlp/models/ner/english.conll.4class.caseless.distsim.prop

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+# This is better than Jenny's either with or without distsim turned on
+# And using iob2 is better for optimal CoNLL performance.
+# Features titled "chris2009"
+
+trainFile = /u/nlp/data/ner/column_data/conll.4class.train
+# testFile = /u/nlp/data/ner/column_data/conll.4class.testa
+serializeTo = english.conll.4class.caseless.distsim.crf.ser.gz
+
+wordFunction = edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
+useKnownLCWords = false
+
+useDistSim = true
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useTitle = true
+useClassFeature=true
+useWord=true
+# useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+# maxNGramLeng=6 # Having them all helps, which is the default
+usePrev=true
+useNext=true
+# useTags=true
+# useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+# dan2 better than chris2 on CoNLL data...
+wordShape=dan2useLC
+useDisjunctive=true
+# disjunctionWidth 4 is better than 5 on CoNLL data
+disjunctionWidth=4
+#useDisjunctiveShapeInteraction=true
+
+type=crf
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+sigma = 20
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz

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+oid sha256:f60c3630612f2c93420f191fec792f87a4f64aee38998324b7a1f8b5c90f7363
+size 17803778

edu/stanford/nlp/models/ner/english.conll.4class.distsim.prop

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+# This is better than Jenny's either with or without distsim turned on
+# And using iob2 is better for optimal CoNLL performance.
+# Features titled "chris2009"
+
+trainFile = /u/nlp/data/ner/column_data/conll.4class.train
+# testFile = /u/nlp/data/ner/column_data/conll.4class.testa
+serializeTo = english.conll.4class.distsim.crf.ser.gz
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+useDistSim = true
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+# right options for egw4-reut.512 (though effect of having or not is small)
+numberEquivalenceDistSim = true
+unknownWordDistSimClass = 0
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useTitle = true
+useClassFeature=true
+useWord=true
+# useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+# maxNGramLeng=6 # Having them all helps, which is the default
+usePrev=true
+useNext=true
+# useTags=true
+# useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+# dan2 better than chris2 on CoNLL data...
+wordShape=dan2useLC
+useDisjunctive=true
+# disjunctionWidth 4 is better than 5 on CoNLL data
+disjunctionWidth=4
+#useDisjunctiveShapeInteraction=true
+
+type=crf
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+sigma = 20
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.conll.4class.nodistsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b14f1b2b25935f0c7b1499e3a910ec11d3bbb1e7350ed0f888b8f170fe38a90c
+size 14860645

edu/stanford/nlp/models/ner/english.conll.4class.nodistsim.prop

@@ -0,0 +1,62 @@
+# This is better than Jenny's either with or without distsim turned on
+# And using iob2 is better for optimal CoNLL performance.
+# Features labeled "chris2009"
+
+trainFile = /u/nlp/data/ner/column_data/conll.4class.train
+# testFile = /u/nlp/data/ner/column_data/conll.4class.testa
+serializeTo = english.conll.4class.nodistsim.crf.ser.gz
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+# This is good, but deliberately not used here
+# useDistSim = true
+useDistSim = false
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useTitle = true
+useClassFeature=true
+useWord=true
+# useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+# maxNGramLeng=6 # Having them all helps, which is the default
+usePrev=true
+useNext=true
+# useTags=true
+# useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+# dan2 better than chris2 on CoNLL data...
+wordShape=dan2useLC
+useDisjunctive=true
+# disjunctionWidth 4 is better than 5 on CoNLL data
+disjunctionWidth=4
+#useDisjunctiveShapeInteraction=true
+
+type=crf
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+sigma = 20
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.muc.7class.caseless.distsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:821281c380d277749c2641d6694584beef533c9cf222d24f03a79d45c18e1291
+size 20118311

edu/stanford/nlp/models/ner/english.muc.7class.caseless.distsim.prop

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+trainFileList = /u/nlp/data/ner/column_data/muc6.ptb.train,/u/nlp/data/ner/column_data/muc7.ptb.train
+# testFile = /u/nlp/data/ner/column_data/muc7.ptb.devtest
+serializeTo = english.muc.7class.caseless.distsim.crf.ser.gz
+
+type=crf
+
+wordFunction = edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
+useKnownLCWords = false
+
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+numberEquivalenceDistSim = true
+unknownWordDistSimClass = 0
+useDistSim = true
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+maxLeft=1
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a2d7308d176718cdd0e7a062aaaf5e94d2c4bb8c9b787f2177196dcce1db5d0c
+size 17859765

edu/stanford/nlp/models/ner/english.muc.7class.distsim.prop

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+trainFileList = /u/nlp/data/ner/column_data/muc6.ptb.train,/u/nlp/data/ner/column_data/muc7.ptb.train
+# testFile = /u/nlp/data/ner/column_data/muc7.ptb.devtest
+serializeTo = english.muc.7class.distsim.crf.ser.gz
+
+type=crf
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+numberEquivalenceDistSim = true
+unknownWordDistSimClass = 0
+useDistSim = true
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+maxLeft=1
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.muc.7class.nodistsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:40f1e3940b1424ffc699c2a3d74274e53b317d31532f4f955ca811d2a6e5b660
+size 14494199

edu/stanford/nlp/models/ner/english.muc.7class.nodistsim.prop

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+trainFile = /u/nlp/data/ner/goodClassifiers/data/muc67.jenny.train
+testFile = /u/nlp/data/ner/goodClassifiers/data/muc67.jenny.test
+serializeTo = english.muc.7class.nodistsim.crf.ser.gz
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
+useDistSim = false
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+type=crf
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.nowiki.3class.caseless.distsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:645677c2646791ac2a07b29be12af60cff84ea02936ac375af8b03939eb30adf
+size 20284974

edu/stanford/nlp/models/ner/english.nowiki.3class.caseless.distsim.prop

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+trainFile = /u/nlp/data/ner/goodClassifiers/data/all.3class.train
+testFile = /u/nlp/data/ner/column_data/conll.testa
+serializeTo = english.nowiki.3class.caseless.distsim.crf.ser.gz
+
+type = crf
+
+wordFunction = edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
+useKnownLCWords = false
+
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters
+useDistSim = true
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/ner/english.nowiki.3class.nodistsim.crf.ser.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8025840c0c214e9787c96f4904e1108634d8321d01f85807a7e5a03ccb86c0ac
+size 16787019

edu/stanford/nlp/models/ner/english.nowiki.3class.nodistsim.prop

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+trainFile = /u/nlp/data/ner/goodClassifiers/data/all.3class.train
+testFile = /u/nlp/data/ner/column_data/conll.testa
+serializeTo = english.nowiki.3class.nodistsim.crf.ser.gz
+
+type = crf
+
+wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+
+#distSimLexicon = /u/nlp/data/pos_tags_are_useless/englishGigaword.200.pruned
+distSimLexicon = /u/nlp/data/pos_tags_are_useless/egw.bnc.200.pruned
+useDistSim = false
+
+map = word=0,answer=1
+
+saveFeatureIndexToDisk = true
+
+useClassFeature=true
+useWord=true
+#useWordPairs=true
+useNGrams=true
+noMidNGrams=true
+maxNGramLeng=6
+usePrev=true
+useNext=true
+#useTags=true
+#useWordTag=true
+useLongSequences=true
+useSequences=true
+usePrevSequences=true
+maxLeft=1
+useTypeSeqs=true
+useTypeSeqs2=true
+useTypeySequences=true
+useOccurrencePatterns=true
+useLastRealWord=true
+useNextRealWord=true
+#useReverse=false
+normalize=true
+# normalizeTimex=true
+wordShape=chris2useLC
+useDisjunctive=true
+disjunctionWidth=5
+#useDisjunctiveShapeInteraction=true
+
+readerAndWriter=edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
+
+useObservedSequencesOnly=true
+
+useQN = true
+QNsize = 25
+
+# makes it go faster
+featureDiffThresh=0.05

edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c351da938e9d86e7cd36f2d29e8405b069e21d1c48ec0e579764e818b892a53
+size 12409329

edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger.props

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+## tagger training invoked at Tue Feb 25 04:12:25 PST 2014 with arguments:
+                   model = english-left3words-distsim.tagger
+                    arch = left3words,naacl2003unknowns,wordshapes(-1,1),distsim(/u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters,-1,1),distsimconjunction(/u/nlp/data/pos_tags_are_useless/egw4-reut.512.clusters,-1,1)
+            wordFunction = edu.stanford.nlp.process.AmericanizeFunction
+               trainFile = /u/nlp/data/pos-tagger/english/train-wsj-0-18;/u/nlp/data/pos-tagger/english/train-extra-english;/u/nlp/data/pos-tagger/english/train-tech-english
+         closedClassTags = 
+ closedClassTagThreshold = 40
+ curWordMinFeatureThresh = 2
+                   debug = false
+             debugPrefix = 
+            tagSeparator = _
+                encoding = UTF-8
+              iterations = 100
+                    lang = english
+    learnClosedClassTags = false
+        minFeatureThresh = 2
+           openClassTags = 
+rareWordMinFeatureThresh = 10
+          rareWordThresh = 5
+                  search = owlqn
+                    sgml = false
+            sigmaSquared = 0.0
+                   regL1 = 0.75
+               tagInside = 
+                tokenize = true
+        tokenizerFactory = 
+        tokenizerOptions = 
+                 verbose = false
+          verboseResults = true
+    veryCommonWordThresh = 250
+                xmlInput = 
+              outputFile = 
+            outputFormat = slashTags
+     outputFormatOptions = 
+                nthreads = 1

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