const corenlp = require("corenlp"); const CoreNLP = corenlp.default; // convenient when not using `import` /** * 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 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()); // constituency parse tree representation const tree = CoreNLP.util.Tree.fromSentence(sent); // 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));