add demo to the README

README.md

@@ -19,4 +19,45 @@ An OIE system aims to make the following extractions:
 ```
 ("AMD"; "is based in"; "U.S.")
 ("AMD"; "is"; "technology company")
+```
+
+# Demo
+
+A short demo:
+
+```
+import de.uni_mannheim.minie.MinIE;
+import de.uni_mannheim.minie.annotation.AnnotatedProposition;
+import de.uni_mannheim.utils.coreNLP.CoreNLPUtils;
+
+import edu.stanford.nlp.pipeline.StanfordCoreNLP;
+
+public class Demo {
+    public static void main(String args[]) {
+        // Dependency parsing pipeline initialization
+        StanfordCoreNLP parser = CoreNLPUtils.StanfordDepNNParser();
+        
+        // Input sentence
+        String sentence = "The Joker believes that the hero Batman was not actually born in foggy Gotham City.";
+        
+        // Generate the extractions (With SAFE mode)
+        MinIE minie = new MinIE(sentence, parser, MinIE.Mode.SAFE);
+        
+        // Print the extractions
+        System.out.println("\nInput sentence: " + sentence);
+        System.out.println("=============================");
+        System.out.println("Extractions:");
+        for (AnnotatedProposition ap: minie.getPropositions()) {
+            System.out.println("\tTriple: " + ap.getTripleAsString());
+            System.out.print("\tFactuality: " + ap.getFactualityAsString());
+            if (ap.getAttribution().getAttributionPhrase() != null) 
+                System.out.print("\tAttribution: " + ap.getAttribution().toStringCompact());
+            else
+                System.out.print("\tAttribution: NONE");
+            System.out.println("\n\t----------");
+        }
+        
+        System.out.println("\n\nDONE!");
+    }
+}
 ```