スタンフォードCoreNLP BasicPipelineExampleは機能しません

Question

私はスタンフォードCoreNLPを使い始めようとしています。ここで

https://stanfordnlp.github.io/CoreNLP/api.html

私のコードです：ここでは

package stanford.corenlp; 

import java.io.File; 
import java.io.IOException; 
import java.nio.charset.Charset; 
import java.util.List; 
import java.util.Map; 
import java.util.Properties; 

import com.google.common.io.Files; 

import edu.stanford.nlp.dcoref.CorefChain; 
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation; 
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.ling.CoreLabel; 
import edu.stanford.nlp.pipeline.Annotation; 
import edu.stanford.nlp.pipeline.StanfordCoreNLP; 
import edu.stanford.nlp.semgraph.SemanticGraph; 
import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation; 
import edu.stanford.nlp.trees.Tree; 
import edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation; 
import edu.stanford.nlp.util.CoreMap; 
import java.util.logging.Level; 
import java.util.logging.Logger; 

    private void test2() { 
     // creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution 
     Properties props = new Properties(); 
     props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref"); 
     StanfordCoreNLP pipeline = new StanfordCoreNLP(props); 

     // read some text in the text variable 
     String text = "Now is the time for all good men to come to the aid of their country."; 

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

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

    } 

    public static void main(String[] args) throws IOException { 
     StanfordNLP nlp = new StanfordNLP(); 
     nlp.test2(); 
    } 

} 

は、スタックトレースです：

Adding annotator tokenize 
No tokenizer type provided. Defaulting to PTBTokenizer. 
Adding annotator ssplit 
Adding annotator pos 
Exception in thread "main" edu.stanford.nlp.io.RuntimeIOException: Error while loading a tagger model (probably missing model file) 
    at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:791) 
    at edu.stanford.nlp.tagger.maxent.MaxentTagger.<init>(MaxentTagger.java:312) 
    at edu.stanford.nlp.tagger.maxent.MaxentTagger.<init>(MaxentTagger.java:265) 
    at edu.stanford.nlp.pipeline.POSTaggerAnnotator.loadModel(POSTaggerAnnotator.java:85) 
    at edu.stanford.nlp.pipeline.POSTaggerAnnotator.<init>(POSTaggerAnnotator.java:73) 
    at edu.stanford.nlp.pipeline.AnnotatorImplementations.posTagger(AnnotatorImplementations.java:55) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$42(StanfordCoreNLP.java:496) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getDefaultAnnotatorPool$65(StanfordCoreNLP.java:533) 
    at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:118) 
    at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) 
    at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:146) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:447) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:150) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:146) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:133) 
    at stanford.corenlp.StanfordNLP.test2(StanfordNLP.java:93) 
    at stanford.corenlp.StanfordNLP.main(StanfordNLP.java:108) 
Caused by: java.io.IOException: Unable to open "edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger" as class path, filename or URL 
    at edu.stanford.nlp.io.IOUtils.getInputStreamFromURLOrClasspathOrFileSystem(IOUtils.java:480) 
    at edu.stanford.nlp.tagger.maxent.MaxentTagger.readModelAndInit(MaxentTagger.java:789) 
    ... 16 more 
C:\Users\Greg\AppData\Local\NetBeans\Cache\8.2\executor-snippets\run.xml:53: Java returned: 1 
BUILD FAILED (total time: 0 seconds) 

私は何をしないのですか？

Answer 1

まず、クラスパスstanford-corenlp-3.8.0.jarに追加する必要があります。これにより、NetBeansの赤色のエラーマークが消えてしまいます。しかし、私が文書化したエラーを防ぐために、stanford-corenlp-3.8.0-models.jarをクラスパスに追加する必要もあります。クラスパスにあるフォルダをクラスパスに追加することはできません。このような詳細は、初心者のドキュメントから除外されるべきではありません！

例を続けて新しいものを追加すると、より多くのエラーが発生します。たとえば、コードは次のようになります。

package stanford.corenlp; 

    import java.io.File; 
    import java.io.IOException; 
    import java.nio.charset.Charset; 
    import java.util.List; 
    import java.util.Map; 
    import java.util.Properties; 

    import com.google.common.io.Files; 

    import edu.stanford.nlp.dcoref.CorefChain; 
    import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation; 
    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.ling.CoreLabel; 
    import edu.stanford.nlp.pipeline.Annotation; 
    import edu.stanford.nlp.pipeline.StanfordCoreNLP; 
    import edu.stanford.nlp.semgraph.SemanticGraph; 
    import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation; 
    import edu.stanford.nlp.trees.Tree; 
    import edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation; 
    import edu.stanford.nlp.util.CoreMap; 
    import edu.stanford.nlp.util.PropertiesUtils; 
    import java.util.logging.Level; 
    import java.util.logging.Logger; 

     private void test2() { 
      // creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution 
      Properties props = new Properties(); 
      props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref"); 
      StanfordCoreNLP pipeline = new StanfordCoreNLP(
      PropertiesUtils.asProperties(
       "annotators", "tokenize,ssplit,pos,lemma,parse,natlog", 
       "ssplit.isOneSentence", "true", 
       "parse.model", "edu/stanford/nlp/models/srparser/englishSR.ser.gz", 
       "tokenize.language", "en")); 

      // read some text in the text variable 
      String text = "Now is the time for all good men to come to the aid of their country."; 

      // 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); 

        System.out.println("word="+word +", pos="+pos +", ne="+ne); 
       } 

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

       // 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); 
     } 

     public static void main(String[] args) throws IOException { 
      StanfordNLP nlp = new StanfordNLP(); 
      nlp.test2(); 
     } 

    } 

そして、スタックトレースは次のようになります。

run: 
Adding annotator tokenize 
Adding annotator ssplit 
Adding annotator pos 
Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0.6 sec]. 
Adding annotator lemma 
Adding annotator parse 
Exception in thread "main" edu.stanford.nlp.io.RuntimeIOException: java.io.IOException: Unable to open "edu/stanford/nlp/models/srparser/englishSR.ser.gz" as class path, filename or URL 
    at edu.stanford.nlp.parser.common.ParserGrammar.loadModel(ParserGrammar.java:187) 
    at edu.stanford.nlp.pipeline.ParserAnnotator.loadModel(ParserAnnotator.java:219) 
    at edu.stanford.nlp.pipeline.ParserAnnotator.<init>(ParserAnnotator.java:121) 
    at edu.stanford.nlp.pipeline.AnnotatorImplementations.parse(AnnotatorImplementations.java:115) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators$50(StanfordCoreNLP.java:504) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getDefaultAnnotatorPool$65(StanfordCoreNLP.java:533) 
    at edu.stanford.nlp.util.Lazy$3.compute(Lazy.java:118) 
    at edu.stanford.nlp.util.Lazy.get(Lazy.java:31) 
    at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:146) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:447) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:150) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:146) 
    at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:133) 
    at stanford.corenlp.StanfordNLP.test2(StanfordNLP.java:95) 
    at stanford.corenlp.StanfordNLP.main(StanfordNLP.java:145) 
Caused by: java.io.IOException: Unable to open "edu/stanford/nlp/models/srparser/englishSR.ser.gz" as class path, filename or URL 
    at edu.stanford.nlp.io.IOUtils.getInputStreamFromURLOrClasspathOrFileSystem(IOUtils.java:480) 
    at edu.stanford.nlp.io.IOUtils.readObjectFromURLOrClasspathOrFileSystem(IOUtils.java:309) 
    at edu.stanford.nlp.parser.common.ParserGrammar.loadModel(ParserGrammar.java:184) 
    ... 14 more 
C:\Users\Greg\AppData\Local\NetBeans\Cache\8.2\executor-snippets\run.xml:53: Java returned: 1 
BUILD FAILED (total time: 1 second) 

私は最終的にダウンロードし、クラスパススタンフォード・英語・corenlp-2017に追加することで、この点を越えました

https://stanfordnlp.github.io/CoreNLP/download.html

：あなたはここに "英語" ダウンロードリンクから入手することができます-06-09-models.jar

ダウンロードページのメッセージに、英語に必要なものがすべてcorenlpダウンロードですでに提供されているというメッセージが表示されますが、これを行う必要があります。