add nlp parser

.vscode/launch.json

@@ -8,6 +8,7 @@
             "type": "java",
             "name": "Launch Java Program",
             "request": "launch",
+            "vmArgs": "-Xmx4G -Xms1024m",
             "mainClass": ""
         },
         {

pom.xml

@@ -12,6 +12,7 @@
         <dl4j-master.version>1.0.0-M2</dl4j-master.version>
         <!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
         <nd4j.backend>nd4j-native</nd4j.backend>
+        <corenlp.version>4.5.6</corenlp.version>
     </properties>
 
     <dependencies>
@@ -46,6 +47,28 @@
         </dependency>
 
 
+        <!--Stanford CoreNLP-->
+        <!--License: GPL-->
+        <dependency>
+            <groupId>edu.stanford.nlp</groupId>
+            <artifactId>stanford-corenlp</artifactId>
+            <version>${corenlp.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>edu.stanford.nlp</groupId>
+            <artifactId>stanford-corenlp</artifactId>
+            <version>${corenlp.version}</version>
+            <classifier>models</classifier>
+        </dependency>
+        <dependency>
+        <groupId>edu.stanford.nlp</groupId>
+            <artifactId>stanford-corenlp</artifactId>
+            <version>${corenlp.version}</version>
+            <classifier>models-english</classifier>
+        </dependency>
+
+
+
 
         <!--GSON-->
         <dependency>

src/main/java/org/studiorailgun/Globals.java

@@ -4,6 +4,7 @@ import java.io.File;
 
 import org.studiorailgun.conversation.categorization.SentenceFunctionCategorizor;
 import org.studiorailgun.conversation.evaluators.greet.GreetingEval;
+import org.studiorailgun.conversation.parser.NLPParser;
 import org.studiorailgun.conversation.tracking.Conversation;
 import org.studiorailgun.knowledge.KnowledgeWeb;
 
@@ -30,6 +31,9 @@ public class Globals {
         GreetingEval.init();
         SentenceFunctionCategorizor.init();
 
+        //init nlp parser
+        NLPParser.init();
+
         //init web
         Globals.web = FileUtils.loadObjectFromFile(new File(webPath), KnowledgeWeb.class);
         Globals.web.initLinks();

src/main/java/org/studiorailgun/conversation/AgentLoop.java

@@ -3,7 +3,7 @@ package org.studiorailgun.conversation;
 import java.util.Scanner;
 
 import org.studiorailgun.Globals;
-import org.studiorailgun.conversation.parser.CommandParser;
+import org.studiorailgun.conversation.command.CommandParser;
 import org.studiorailgun.conversation.tracking.Quote;
 
 public class AgentLoop {

src/main/java/org/studiorailgun/conversation/command/CommandParser.java

@@ -1,4 +1,4 @@
-package org.studiorailgun.conversation.parser;
+package org.studiorailgun.conversation.command;
 
 import org.studiorailgun.conversation.AgentLoop;
 import org.studiorailgun.conversation.llm.LLMLoop;

src/main/java/org/studiorailgun/conversation/llm/LLMLoop.java

@@ -2,7 +2,7 @@ package org.studiorailgun.conversation.llm;
 
 import java.util.Scanner;
 
-import org.studiorailgun.conversation.parser.CommandParser;
+import org.studiorailgun.conversation.command.CommandParser;
 import org.studiorailgun.kobold.KoboldPrinter;
 import org.studiorailgun.kobold.KoboldRequest;
 

src/main/java/org/studiorailgun/conversation/parser/NLPParser.java

@@ -0,0 +1,52 @@
+package org.studiorailgun.conversation.parser;
+
+import edu.stanford.nlp.coref.data.CorefChain;
+import edu.stanford.nlp.ling.*;
+import edu.stanford.nlp.ie.util.*;
+import edu.stanford.nlp.pipeline.*;
+import edu.stanford.nlp.semgraph.*;
+import edu.stanford.nlp.trees.*;
+import java.util.*;
+
+/**
+ * Parses a sentence
+ */
+public class NLPParser {
+
+    public static String text = "Joe Smith was born in California. " +
+      "In 2017, he went to Paris, France in the summer. " +
+      "His flight left at 3:00pm on July 10th, 2017. " +
+      "After eating some escargot for the first time, Joe said, \"That was delicious!\" " +
+      "He sent a postcard to his sister Jane Smith. " +
+      "After hearing about Joe's trip, Jane decided she might go to France one day.";
+
+    static StanfordCoreNLP pipeline;
+
+    /**
+     * Initializes the part-of-speech Parser
+     */
+    public static void init(){
+        // set up pipeline properties
+        Properties props = new Properties();
+        // set the list of annotators to run
+        props.setProperty("annotators", "tokenize,pos,lemma,ner,parse,depparse,coref,kbp,quote");
+        // set a property for an annotator, in this case the coref annotator is being set to use the neural algorithm
+        props.setProperty("coref.algorithm", "neural");
+        // build pipeline
+        pipeline = new StanfordCoreNLP(props);
+    }
+    
+    /**
+     * Parses the input sentence
+     * @param input The input sentence
+     */
+    public static void parse(String input){
+        // create a document object
+        CoreDocument document = new CoreDocument(text);
+        // annnotate the document
+        pipeline.annotate(document);
+        
+        //TODO: grab information from document here
+    }
+
+}