斯坦福CoreNLP-文本到XML

Question

有人可以請我提供斯坦福CoreNLP的Java實現將文本文件轉換爲XML文件。同樣的事情，我可以用

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。

Answer 1

在java中你可以這樣調用它：

import edu.stanford.nlp.pipeline.StanfordCoreNLP; 

...

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

（如果這個就足夠了）

Answer 2

喬普的回答肯定的作品，但如果你想要深入一點，而不是將主要方法用作API，下面是一個完整的示例，顯示了將XML語句分析寫入文件。

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); 
    } 
    } 

} 

Answer 3

使用StanfordCoreNlpDemo.java在下載CoreNLP's zip