Stanford CoreNLP- Text to XML

时间:2012-07-03 08:02:17

标签: java stanford-nlp

有人可以请我使用Stanford CoreNLP的Java实现来将文本文件转换为XML文件。

我可以做同样的事情
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

在命令行中。

3 个答案:

答案 0 :(得分:4)

Joop的答案当然有效,但是如果你想深入挖掘而不是使用main方法作为你的API,这里有一个完整的示例,它显示了将XML中的句子分析写入文件。

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);
    }
  }

}

答案 1 :(得分:2)

在java中你可以这样称呼它:

import edu.stanford.nlp.pipeline.StanfordCoreNLP;

...

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

(如果这样就足够了)

答案 2 :(得分:0)

在下载的CoreNLP's zip

中使用StanfordCoreNlpDemo.java