Question

我正在使用分块标记数据并最初从文本中获取位置，当我们使用还被称为名词短语的名词短语名称以致无法使用时，我尝试从下一个提取名词短语，然后我移到了位置NLP核心我尝试运行以下代码

 * @param args the command line arguments
 */
public static void main(String[] args) {
    // TODO code application logic here
    try {

InputStream inputStreamTokenizer =新 FileInputStream（“ D：\ project \文本文档中的关系提取\ Libraray \ parsing / en-token.bin”）； TokenizerModel tokenModel =新的TokenizerModel（inputStreamTokenizer）;

  //String paragraph = "Mike and Smith are classmates"; 
  String paragraph = "Tutorialspoint is located in Hyderabad"; 

  //Instantiating the TokenizerME class 
  TokenizerME tokenizer = new TokenizerME(tokenModel); 
  String tokens[] = tokenizer.tokenize(paragraph); 

  //Loading the NER-location moodel 
  InputStream inputStreamNameFinder = new 
     FileInputStream("D:\\project\\Relation Extraction in Text Document\\Libraray\\parsing/en-ner-location.bin");       
  TokenNameFinderModel location = new TokenNameFinderModel(inputStreamNameFinder); 

  //Instantiating the NameFinderME class 
  NameFinderME nameFinder;      
        nameFinder = new NameFinderME(location);

  //Finding the names of a location 
  Span nameSpans[] = nameFinder.find(tokens);        
  //Printing the spans of the locations in the sentence 
 for(Span s: nameSpans)        
     System.out.println(s.toString()+"  "+tokens[s.getStart()]);

我收到一个错误消息“ java.lang.UnsupportedOperationException：尚不支持。”

“ nameFinder = new NameFinderME（location）;”处的错误符号；说“ exmp.TokenNameFinderModel无法转换为opennlp.tools.namefind.TokenNameFinderModel”是什么原因

Answer 1

您的导入不正确，这是一个有效的版本：

import java.io.FileInputStream;
import java.io.InputStream;

import opennlp.tools.namefind.NameFinderME;
import opennlp.tools.namefind.TokenNameFinderModel;
import opennlp.tools.tokenize.TokenizerME;
import opennlp.tools.tokenize.TokenizerModel;
import opennlp.tools.util.Span;

和输出：[4..5) location Hyderabad

如何使用OpenNLP从文本获取位置？

1 个答案: