使用Stanford CoreNLP解析共享 - 无法加载解析器模型

Question

我想做一个非常简单的工作:给一个包含代词的字符串,我想解决它们.

例如,我想把这句话改为"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."

我曾尝试使用Stanford CoreNLP.但是,我似乎无法启动解析器.我使用Eclipse在项目中导入了所有包含的jar,并且我已经为JVM(-Xmx3g)分配了3GB.

错误非常尴尬:

线程"main"中的异常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L的来源,我认为这是我问题的根源......这很奇怪.我试图进入源文件,但没有错误的引用.

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:

添加注释器标记大小添加注释器ssplit添加注释器pos加载POS模型[edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger] ...从训练有素的标记器edu/stanford /加载默认属性nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger从edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger中读取POS标记模型...完成[2.1秒].完成[2.2秒].添加注释器引理添加注释器从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].添加注释器解析线程"main"中的异常java.lang.NoSuchMethodError:edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String; [Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser; at 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)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) )在Coref.main的edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:178)(Coref.java:41)

Answer 1

是的,自Java 1.0以来,L只是一个奇怪的Sun事物.

LexicalizedParser.loadModel(String, String ...)是一个添加到解析器的新方法,该方法未找到.我怀疑这意味着你的类路径中有另一个版本的解析器正在被使用.

试试这个:在任何IDE外部的shell中,给出这些命令(适当地给出stanford-corenlp的路径,并改变:to;如果在Windows上:

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

解析器加载,你的代码正确运行 - 只需要添加一些打印语句,这样你就可以看到它做了什么:-).