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，我想解决它们。

例如，我想把句子改为“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，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 /郎/字符串; [Ljava /郎/字符串;）乐都/斯坦福/ NLP /解析器/ lexparser / LexicalizedParser;

我不明白L来自哪里，我认为这是我问题的根源......这很奇怪。我试图进入源文件，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 添加注释器位置加载POS模型[edu / stanford / nlp / models / pos-tagger / english-left3words / english-left3words-distsim.tagger] ...从训练有素的标记器加载默认属性edu / stanford / nlp / models / pos-tagger / english -left3words /英语 - left3words-distsim.tagger 从edu / stanford读取POS标记模型/ nlp / models / pos-tagger / english-left3words / english-left3words-distsim.tagger ...完成[2.1秒]。完成[2.2秒]。添加注释引理添加注释器从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; 在edu.stanford.nlp.pipeline.ParserAnnotator.loadModel（ParserAnnotator.java:115）在edu.stanford.nlp.pipeline.ParserAnnotator。（ParserAnnotator.java:64）在edu.stanford.nlp.pipeline.StanfordCoreNLP $ 12.create（StanfordCoreNLP.java:603）在edu.stanford.nlp.pipeline.StanfordCoreNLP $ 12.create（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。（StanfordCoreNLP.java:196）在edu.stanford.nlp.pipeline.StanfordCoreNLP。（StanfordCoreNLP.java:186）在edu.stanford.nlp.pipeline.StanfordCoreNLP。（StanfordCoreNLP.java:178）在Coref.main（Coref.java:41）

Answer 1

是的，自Java 1.0以来，L只是一个奇怪的Sun事件。

LexicalizedParser.loadModel(String, String ...)是添加到解析器的新方法，但未找到该方法。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

解析器加载并且您的代码正确运行 - 只需要添加一些打印语句，这样您就可以看到它做了什么： - ）。

使用Stanford CoreNLP解析共享 - 无法加载解析器模型

1 个答案: