汉斯在Java中的corenlp-summarizer（Stanford CoreNLP）

Question

  

我的https://github.com/hans/corenlp-summarizer代码出错了。如何添加文件来运行此代码。我尝试运行它，但它有像这张图片

这样的错误

package bao;

import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.stats.ClassicCounter;
import edu.stanford.nlp.stats.Counter;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.util.PropertiesUtils;

import java.io.FileInputStream;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import java.util.Properties;


public class Summarizer {

 private static final StanfordCoreNLP pipeline;
 static {
Properties props = new Properties();
props.setProperty("annotators", "tokenize,ssplit,pos");
props.setProperty("tokenize.language", "es");
props.setProperty("pos.model", "edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger");

pipeline = new StanfordCoreNLP(props);
   }

 private final Counter<String> dfCounter;
 private final int numDocuments;

public Summarizer(Counter<String> dfCounter) {
this.dfCounter = dfCounter;
this.numDocuments = (int) dfCounter.getCount("__all__");
 }

 private static Counter<String> getTermFrequencies(List<CoreMap> sentences)   {
Counter<String> ret = new ClassicCounter<String>();

for (CoreMap sentence : sentences)
  for (CoreLabel cl : sentence.get(CoreAnnotations.TokensAnnotation.class))
    ret.incrementCount(cl.get(CoreAnnotations.TextAnnotation.class));

return ret;
 }

 private class SentenceComparator implements Comparator<CoreMap> {
private final Counter<String> termFrequencies;

public SentenceComparator(Counter<String> termFrequencies) {
  this.termFrequencies = termFrequencies;
   }

@Override
public int compare(CoreMap o1, CoreMap o2) {
  return (int) Math.round(score(o2) - score(o1));
   }

/**
 * Compute sentence score (higher is better).
 */
private double score(CoreMap sentence) {
  double tfidf = tfIDFWeights(sentence);

  // Weight by position of sentence in document
  int index = sentence.get(CoreAnnotations.SentenceIndexAnnotation.class);
  double indexWeight = 5.0 / index;

  return indexWeight * tfidf * 100;
  }

   private double tfIDFWeights(CoreMap sentence) {
  double total = 0;
  for (CoreLabel cl : sentence.get(CoreAnnotations.TokensAnnotation.class))
    if   (cl.get(CoreAnnotations.PartOfSpeechAnnotation.class).startsWith("n"))
      total += tfIDFWeight(cl.get(CoreAnnotations.TextAnnotation.class));

  return total;
   }

private double tfIDFWeight(String word) {
  if (dfCounter.getCount(word) == 0)
    return 0;

  double tf = 1 + Math.log(termFrequencies.getCount(word));
  double idf = Math.log(numDocuments / (1 + dfCounter.getCount(word)));
  return tf * idf;
    }
 }

 private List<CoreMap> rankSentences(List<CoreMap> sentences, Counter<String> tfs)   {
Collections.sort(sentences, new SentenceComparator(tfs));
return sentences;
 }

public String summarize(String document, int numSentences) {
Annotation annotation = pipeline.process(document);
List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);

Counter<String> tfs = getTermFrequencies(sentences);
sentences = rankSentences(sentences, tfs);

StringBuilder ret = new StringBuilder();
for (int i = 0; i < numSentences; i++) {
  ret.append(sentences.get(i));
  ret.append(" ");
   }

return ret.toString();
 }

  private static final String DF_COUNTER_PATH = "df-counts.ser";

@SuppressWarnings("unchecked")
private static Counter<String> loadDfCounter(String path)
throws IOException, ClassNotFoundException {
ObjectInputStream ois = new ObjectInputStream(new FileInputStream(path));
return (Counter<String>) ois.readObject();
    }

 public static void main(String[] args) throws IOException, ClassNotFoundException {
  //day nay phai them 1 file name nua moi du, tim xem cai file nay la      format the nao
  // o dau a ạ
  //doc source code, tim tren google xem thang nay no co viet paper voi cai tool nay ko hoac la doc ky la cai tutorial luc nay anh gui

  String filename = args[0];
 String content = IOUtils.slurpFile(filename);

Counter<String> dfCounter = loadDfCounter(DF_COUNTER_PATH);

Summarizer summarizer = new Summarizer(dfCounter);
String result = summarizer.summarize(content, 2);

System.out.println(result);
  }

  }

  

    

      

        

这是Hans的代码

                 

引用标题

      

    

  

     

我不知道如何将输入文件放入此代码中，如下所示：        String filename = args[0];-   的