使用斯坦福大学CoreNLP解析共同引用-无法加载解析器模型

Question

我想做一个非常简单的工作:给定一个包含代词的字符串，我想解析它们。

例如，我想转一句：“玛丽有一只小羊羔，她很可爱。”在“玛丽有一只小羊羔。玛丽很可爱。”

我试过使用斯坦福大学的CoreNLP。但是，我似乎无法启动解析器。我已经使用Eclipse导入了项目中包含的所有jars，并将3GB分配给JVM (-Xmx3g)。

这个错误非常尴尬：

线程"main“中的edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String;[Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser；异常:edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String；[Ljava/lang/String；)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser；

我不明白我从何而来，我认为这是我问题的根源.这很奇怪。我试图进入源文件，但没有错误的参考那里。

代码：

import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation;
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation;
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
import edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.dcoref.CorefChain;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.semgraph.SemanticGraph;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.util.IntTuple;
import edu.stanford.nlp.util.Pair;
import edu.stanford.nlp.util.Timing;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import java.util.Properties;

public class Coref {

/**
 * @param args the command line arguments
 */
public static void main(String[] args) throws IOException, ClassNotFoundException {
    // creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution 
    Properties props = new Properties();
    props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

    // read some text in the text variable
    String text = "Mary has a little lamb. She is very cute."; // Add your text here!

    // create an empty Annotation just with the given text
    Annotation document = new Annotation(text);

    // run all Annotators on this text
    pipeline.annotate(document);

    // these are all the sentences in this document
    // a CoreMap is essentially a Map that uses class objects as keys and has values with custom types
    List<CoreMap> sentences = document.get(SentencesAnnotation.class);

    for(CoreMap sentence: sentences) {
      // traversing the words in the current sentence
      // a CoreLabel is a CoreMap with additional token-specific methods
      for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
        // this is the text of the token
        String word = token.get(TextAnnotation.class);
        // this is the POS tag of the token
        String pos = token.get(PartOfSpeechAnnotation.class);
        // this is the NER label of the token
        String ne = token.get(NamedEntityTagAnnotation.class);       
      }

      // this is the parse tree of the current sentence
      Tree tree = sentence.get(TreeAnnotation.class);
      System.out.println(tree);

      // this is the Stanford dependency graph of the current sentence
      SemanticGraph dependencies = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class);
    }

    // This is the coreference link graph
    // Each chain stores a set of mentions that link to each other,
    // along with a method for getting the most representative mention
    // Both sentence and token offsets start at 1!
    Map<Integer, CorefChain> graph = 
      document.get(CorefChainAnnotation.class);
    System.out.println(graph);
  }
}

全堆栈跟踪：

edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger .>从经过训练的标签加载默认属性edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger从edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger读取POS标签模型。完成2.1秒。完成2.2秒。添加注解引理，添加注解器，从edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz加载分类器。完成4秒。从edu/stanford/nlp/models/ner/english.muc.distsim.crf.ser.gz加载分类器。完成3.0秒。从edu/stanford/nlp/models/ner/english.conll.distsim.crf.ser.gz加载分类器。完成3.3秒。在线程"main“java.lang.NoSuchMethodError: java.lang.NoSuchMethodError中添加注释器解析异常在edu.stanford.nlp.pipeline.ParserAnnotator.loadModel(ParserAnnotator.java:115) at edu.stanford.nlp.pipeline.ParserAnnotator.(ParserAnnotator.java:64) at edu.stanford.nlp.pipeline.StanfordCoreNLP$12.create(StanfordCoreNLP.java:603) at edu.stanford.nlp.pipeline.StanfordCoreNLP$12.create(StanfordCoreNLP.java:585) at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:62) at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:329) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:196) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:186) at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:178) at Coref.main(Coref.java:41)

Answer 1

是的，从Java 1.0开始，L只是一个奇怪的Sun东西。

LexicalizedParser.loadModel(String, String ...)是一个添加到解析器中的新方法，它没有被找到。我怀疑这意味着您的类路径中有另一个解析器版本，正在使用它。

尝试如下:在任何IDE之外的shell中，给出以下命令(适当地给出通往stanford的路径，并在Windows上更改: to；if：

javac -cp ".:stanford-corenlp-2012-04-09/*" Coref.java
java -mx3g -cp ".:stanford-corenlp-2012-04-09/*" Coref

解析器加载，您的代码为我正确运行-只需要添加一些打印语句，以便您可以看到它做了什么:-)。