Ammonite script to run CoreNLP embedded

corenlp.sc

import $ivy.`edu.stanford.nlp:stanford-corenlp:3.8.0`


import edu.stanford.nlp.pipeline._
import edu.stanford.nlp.ling.CoreAnnotations._
import edu.stanford.nlp.trees.TreeCoreAnnotations._

import java.util._
import scala.collection.JavaConverters._


// creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution
val props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("parse.model", "edu/stanford/nlp/models/srparser/englishSR.ser.gz");
props.setProperty("ner.useSUTime", "0");
props.setProperty("ssplit.isOneSentence", "true");
props.setProperty("tokenize.language", "en");

val pipeline = new StanfordCoreNLP(props);

// read some text in the text variable
val text = "Hello there, I'd like to know what's in this sentence.";

// create an empty Annotation just with the given text
val document = new Annotation(text);

// run all Annotators on this text
val x = pipeline.annotate(document);
val sentences = document.get(classOf[SentencesAnnotation]);

println(x)
println(s"sentences is $sentences")

sentences.asScala.foreach{
  s =>
	val tree = s.get(classOf[TreeAnnotation]);
	println(tree)
}