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。
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