使用Stanford CoreNLP解决共指问题-无法加载解析器模型

Question

我已经尝试使用斯坦福CorenLP。但是，我似乎无法启动解析器。我已经使用Eclipse在我的项目中导入了所有包含的JAR，并为JVM(-xmx3g)分配了3GB。

错误很尴尬：

线程“main”java.lang.NosuchMethoderror：edu.stanford.nlp.parser.lexparser.lexicalizedParser.loadModel（ljava/lang/string；[ljava/lang/string；）ledu/stanford/nlp/parser/lexparser/lexicalizedParser；

我不明白我从哪里来，我想这是我问题根源...这是相当奇怪的。我试图进入源文件内部，但那里没有错误的引用。

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);
  }
}

完整堆栈跟踪：

添加注释器标记添加注释器ssplit添加注释器pos加载pos模型[edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words/english-left3words/english-left3words-distsim.tagger]...从经过训练的tagger加载默认属性完成[2.2秒]。添加注释器引理添加注释器ner从edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz加载分类器...完成[4.0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：edu.stanford.nlp.parser.lexicalizedparser.loadModel（ljava/lang/string；[ljava/lang/string；）ledu/stanford.nlp.pipeline.parserannotator.loadModel（parserannotator.java:115)在edu.stanford.nlp.pipeline.parserannotator.(parserannotator.java:64)，在java:603)在edu.stanford.nlp.pipeline.stanfordCorenlp$12.创建(stanfordCorenlp.java:585)在edu.stanford.nlp.pipeline.annotatorpool.get(annotatorpool.java:62)在edu.stanford.nlp.pipeline.stanfordCorenlp.construct(stanfordCorenlp.java:329)在edu.stanford.nlp.pipeline.stanfordCorenlp.java:196)在eline.stanfordcorenlp.(stanfordcorenlp.java:178)在coref.main(coref.java:41)

Answer 1

是的，L只是Java1.0以来的一个奇怪的Sun东西。

LexicalizedParser.loadModel(String，String...)是添加到解析器中的新方法，但未找到该方法。我怀疑这意味着您的类路径中有另一个版本的解析器正在被使用。

尝试这样做：在任何IDE外部的shell中，给出以下命令（适当地给出stanford-corenlp的路径，如果在Windows上，则更改：to；

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