斯坦福解析器java错误

Question

我正在研究NLP,我想用Stanford解析器从文本中提取名词短语,我使用的解析器版本是3.4.1这是我使用的示例代码

package stanfordparser;


import java.util.Collection;
import java.util.List;
import java.io.StringReader;

import edu.stanford.nlp.process.Tokenizer;
import edu.stanford.nlp.process.TokenizerFactory;
import edu.stanford.nlp.process.CoreLabelTokenFactory;
import edu.stanford.nlp.process.DocumentPreprocessor;
import edu.stanford.nlp.process.PTBTokenizer;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.ling.HasWord;
import edu.stanford.nlp.ling.Sentence;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.parser.lexparser.LexicalizedParser;

class ParserDemo {

  public static void main(String[] args) {
    LexicalizedParser lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
    if (args.length > 0) {
      demoDP(lp, args[0]);
    } else {
      demoAPI(lp);
    }
  }


  public static void demoDP(LexicalizedParser lp, String filename) {

    TreebankLanguagePack tlp = new PennTreebankLanguagePack();
    GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();

    for (List<HasWord> sentence : new DocumentPreprocessor(filename)) {
      Tree parse = lp.apply(sentence);
      parse.pennPrint();
      System.out.println();

      GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
      Collection tdl = gs.typedDependenciesCCprocessed();
      System.out.println(tdl);
      System.out.println();
    }
  }

  public static void demoAPI(LexicalizedParser lp) {
    // This option shows parsing a list of correctly tokenized words
    String[] sent = { "This", "is", "an", "easy", "sentence", "." };
    List<CoreLabel> rawWords = Sentence.toCoreLabelList(sent);
    Tree parse = lp.apply(rawWords);
    parse.pennPrint();
    System.out.println();

    // This option shows loading and using an explicit tokenizer
    String sent2 = "This is another sentence.";
    TokenizerFactory<CoreLabel> tokenizerFactory =
        PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    Tokenizer<CoreLabel> tok =
        tokenizerFactory.getTokenizer(new StringReader(sent2));
    List<CoreLabel> rawWords2 = tok.tokenize();
    parse = lp.apply(rawWords2);

    TreebankLanguagePack tlp = new PennTreebankLanguagePack();
    GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
    GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
    List<TypedDependency> tdl = gs.typedDependenciesCCprocessed();
    System.out.println(tdl);
    System.out.println();

    // You can also use a TreePrint object to print trees and dependencies
    TreePrint tp = new TreePrint("penn,typedDependenciesCollapsed");
    tp.printTree(parse);
  }

  private ParserDemo() {} // static methods only

}

但是当我运行此代码时,我得到以下错误

java.io.IOException: Unable to resolve "edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz" as either class path, filename or URL
    at edu.stanford.nlp.io.IOUtils.getInputStreamFromURLOrClasspathOrFileSystem(IOUtils.java:446)
    at edu.stanford.nlp.io.IOUtils.readStreamFromString(IOUtils.java:380)
    at edu.stanford.nlp.parser.lexparser.LexicalizedParser.getParserFromSerializedFile(LexicalizedParser.java:628)
    at edu.stanford.nlp.parser.lexparser.LexicalizedParser.getParserFromFile(LexicalizedParser.java:423)
    at edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:182)
    at edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(LexicalizedParser.java:161)
    at stanfordparser.ParserDemo.main(ParserDemo.java:29)

我认为加载模型文件的问题,任何人都可以帮我解决问题吗？谢谢

更新:(1)我已经包含了cornlp模型罐
更新:(2)我正在使用Netbeans

Answer 1

是的,你没有CoreNLP模型Jar.你可以从这里下载它们 - http://nlp.stanford.edu/software/corenlp.shtml#Download

或者,你可以这样做:

1. 创建一个Maven项目.(日食很容易)

2. 在pom.xml文件中,添加此依赖项.

   <dependency> 
     <groupId>edu.stanford.nlp</groupId>
     <artifactId>stanford-corenlp</artifactId>
     <version>3.5.0</version>
   </dependency>
   <dependency>
     <groupId>edu.stanford.nlp</groupId>
     <artifactId>stanford-corenlp</artifactId>
     <version>3.5.0</version>
     <classifier>models</classifier>
   </dependency>
   

3. 做maven清理,maven更新和maven安装.模型文件将自动安装在.m2文件夹中.

我希望你认识maven.如果没有,请发表评论/问题.我们会回答.

Answer 2

您需要在类路径中包含 CoreNLP 模型 jar（可从 CoreNLP 主页下载），以便解析器正常工作。