docs(runkit): updated example

Author: gerardobort

README.md

@@ -2,9 +2,7 @@
 
 This library helps making NodeJS applications using the state-of-the-art technology for Natural Language Processing: Stanford CoreNLP.
 
-[![Build Status](https://travis-ci.org/gerardobort/node-corenlp.svg?branch=master)](https://travis-ci.org/gerardobort/node-corenlp)
-
-[![Try corenlp on RunKit](https://badge.runkitcdn.com/corenlp.svg)](https://npm.runkit.com/corenlp)
+[![Build Status](https://travis-ci.org/gerardobort/node-corenlp.svg?branch=master)](https://travis-ci.org/gerardobort/node-corenlp) [![Try corenlp on RunKit](https://badge.runkitcdn.com/corenlp.svg)](https://npm.runkit.com/corenlp)
 
 [![NPM package](https://nodei.co/npm/corenlp.png)](https://www.npmjs.com/package/corenlp)
 

examples/runkit.js

@@ -1,27 +1,42 @@
+// requires ployfill for ES7 async/await
 require("babel-polyfill");
-const corenlp = require("corenlp"), CoreNLP = corenlp.default;
-const Properties = corenlp.Properties;
-const Pipeline = corenlp.Pipeline;
-const ConnectorServer = corenlp.ConnectorServer;
+
+const corenlp = require("corenlp");
+const CoreNLP = corenlp.default; // convenient when not using `import`
+
 /**
- * NOTE: The server http://corenlp.run is used here just for demo purposes.
+ * IMPORTANT
+ * The server http://corenlp.run is used here just for demo purposes.
  * It is not set up to handle a large volume of requests. Instructions for 
  * setting up your own server can be found in the Dedicated Server section (link below).
  * @see {@lik https://stanfordnlp.github.io/CoreNLP/corenlp-server.html}
  * @see {@link http://corenlp.run}
  */
-const connector = new ConnectorServer({ dsn: 'http://corenlp.run' });
-const props = new Properties({ annotators: 'tokenize,ssplit,pos,parse' });
-const pipeline = new Pipeline(props, 'Spanish', connector);
+const connector = new corenlp.ConnectorServer({
+    dsn: 'http://corenlp.run',
+});
+
+// initialize the pipeline and document to annotate
+const props = new corenlp.Properties({
+    annotators: 'tokenize,ssplit,pos,ner,parse',
+});
+const pipeline = new corenlp.Pipeline(props, 'Spanish', connector);
+const sent = new CoreNLP.simple.Sentence(
+    'Jorge quiere cinco empanadas de queso y carne.'
+);
+
+// performs the call to corenlp (in this case via http)
+await pipeline.annotate(sent);
+
+// constituency parse string representation
+console.log('parse', sent.parse());
 
-const sent = new CoreNLP.simple.Sentence('...contemplando la membrana azul de tus ojos fulminando el tiempo, y el espacio.');
+// constituency parse tree representation
+const tree = CoreNLP.util.Tree.fromSentence(sent);
 
-// The response might take few seconds...
-pipeline.annotate(sent)
-    .then(sent => {
-        console.log(sent.tokens().map(token => `${token}: ${token.pos()}`));
-        console.log(sent.tokens().map(token => `${token}: ${token.posInfo().tag}`));
-    })
-    .catch(err => {
-        console.log('err', err);
-    });
+// traverse the tree leaves and print some props
+tree.visitLeaves(node =>
+  console.log(node.word(), node.pos(), node.token().ner()));
+  
+// dump the tree for debugging
+console.log(JSON.stringify(tree.dump(), null, 2));