title: Resolve coreference using Stanford CoreNLP - unable to load parser model
body: <p>I want to do a very simple job: given a string containing pronouns, I want to resolve them.</p>
  
  <p>for example, I want to turn the sentence "Mary has a little lamb. She is cute." in "Mary has a little lamb. Mary is cute.".</p>
  
  <p>I have tried to use Stanford CoreNLP. However, I seem unable to get the parser to start. I have imported all the included jars in my project using Eclipse, and I have allocated 3GB to the JVM (-Xmx3g).</p>
  
  <p>The error is very awkward:</p>
  
  <blockquote>
    <p>Exception in thread "main" java.lang.NoSuchMethodError:
    edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String;[Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser;</p>
  </blockquote>
  
  <p>I don't understand where that L comes from, I think it is the root of my problem... This is rather weird. I have tried to get inside the source files, but there is no wrong reference there.</p>
  
  <p>Code:</p>
  
  <pre><code>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&lt;CoreMap&gt; 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&lt;Integer, CorefChain&gt; graph = 
        document.get(CorefChainAnnotation.class);
      System.out.println(graph);
    }
  }
  </code></pre>
  
  <p>Full stack trace:</p>
  
  <blockquote>
    <p>Adding annotator tokenize
    Adding annotator ssplit
    Adding annotator pos
    Loading POS Model [edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger] ... Loading default properties from trained tagger edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger
    Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2.1 sec].
    done [2.2 sec].
    Adding annotator lemma
    Adding annotator ner
    Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [4.0 sec].
    Loading classifier from edu/stanford/nlp/models/ner/english.muc.distsim.crf.ser.gz ... done [3.0 sec].
    Loading classifier from edu/stanford/nlp/models/ner/english.conll.distsim.crf.ser.gz ... done [3.3 sec].
    Adding annotator parse
    Exception in thread "main" 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)
        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)</p>
  </blockquote>