CODEWITHSUNDEEP
javastanford-nlp
agarwav
agarwav

Reputation: 400

Stanford CoreNLP- Text to XML

Can somebody please provide me with the Java implementation of Stanford CoreNLP to convert a text file to XML file. The same thing that I can do with 

java -cp stanford-corenlp-2012-05-22.jar;stanford-corenlp-2012-05-22-models.jar;xom.jar;joda-time.jar -Xmx3g edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,ner,parse,dcoref -file input.txt

in command line.

Upvotes: 1

Views: 2324

Answers (3)

Vanaja Jayaraman
Vanaja Jayaraman

Reputation: 781

Use StanfordCoreNlpDemo.java in the downloaded CoreNLP's zip

Upvotes: 0

Christopher Manning
Christopher Manning

Reputation: 9450

Joop's answer certainly works, but in case you want to dig a little bit deeper rather than using the main method as your API, here's a complete sample that shows writing the sentence analysis in XML to a file.

import java.io.*;
import java.util.*;

import edu.stanford.nlp.io.*;
import edu.stanford.nlp.ling.*;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.util.*;

public class StanfordCoreNlpDemo {

  public static void main(String[] args) throws IOException {
    PrintWriter out;
    if (args.length > 1) {
      out = new PrintWriter(args[1]);
    } else {
      out = new PrintWriter(System.out);
    }
    PrintWriter xmlOut = null;
    if (args.length > 2) {
      xmlOut = new PrintWriter(args[2]);
    }

    StanfordCoreNLP pipeline = new StanfordCoreNLP();
    Annotation annotation;
    if (args.length > 0) {
      annotation = new Annotation(IOUtils.slurpFileNoExceptions(args[0]));
    } else {
      annotation = new Annotation("Kosgi Santosh sent an email to Stanford University. He didn't get a reply.");
    }

    pipeline.annotate(annotation);
    pipeline.prettyPrint(annotation, out);
    if (xmlOut != null) {
      pipeline.xmlPrint(annotation, xmlOut);
    }
    // An Annotation is a Map and you can get and use the various analyses individually.
    // For instance, this gets the parse tree of the first sentence in the text.
    List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);
    if (sentences != null && sentences.size() > 0) {
      CoreMap sentence = sentences.get(0);
      Tree tree = sentence.get(TreeCoreAnnotations.TreeAnnotation.class);
      out.println();
      out.println("The first sentence parsed is:");
      tree.pennPrint(out);
    }
  }

}

Upvotes: 4

Joop Eggen
Joop Eggen

Reputation: 109547

In java you might call it thus:

import edu.stanford.nlp.pipeline.StanfordCoreNLP;

...

StanfordCoreNLP.main(new String[] {
    "-annotators", "tokenize,ssplit,pos,lemma,ner,parse,dcoref",
    "-file", "input.txt" });

(If this suffices)

Upvotes: 2

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