当我们运行共指解析程序时它会抛出一个错误，我该如何解决？

Question

当我们运行程序时，我是共指解析的新手，它会抛出一个错误，我很难解决，请帮助我

    Annotation document = new Annotation("Barack Obama was born in Hawaii.  He is the president. Obama was elected in 2008.");
    Properties props = new Properties();
    props.setProperty("annotators", "tokenize,ssplit,pos,lemma,ner,parse,coref");
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
    pipeline.annotate(document);
    System.out.println("---");
    System.out.println("coref chains");
    for (CorefChain cc : document.get(CorefCoreAnnotations.CorefChainAnnotation.class).values()) {
      System.out.println("\t" + cc);
    }
    for (CoreMap sentence : document.get(CoreAnnotations.SentencesAnnotation.class)) {
      System.out.println("---");
      System.out.println("mentions");
      for (Mention m : sentence.get(CorefCoreAnnotations.CorefMentionsAnnotation.class)) {
        System.out.println("\t" + m);
       }

发生的错误如下所述

> Exception in thread "main" java.lang.OutOfMemoryError: GC overhead limit exceeded
at java.util.Arrays.copyOfRange(Unknown Source)
at java.lang.String.<init>(Unknown Source)
at edu.stanford.nlp.util.StringUtils.splitOnChar(StringUtils.java:537)
at edu.stanford.nlp.coref.data.Dictionaries.loadGenderNumber(Dictionaries.java:405)
at edu.stanford.nlp.coref.data.Dictionaries.<init>(Dictionaries.java:676)
at edu.stanford.nlp.coref.data.Dictionaries.<init>(Dictionaries.java:576)
at edu.stanford.nlp.coref.CorefSystem.<init>(CorefSystem.java:32)
at edu.stanford.nlp.pipeline.CorefAnnotator.<init>(CorefAnnotator.java:66)
at edu.stanford.nlp.pipeline.AnnotatorImplementations.coref(AnnotatorImplementations.java:196)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$getNamedAnnotators(StanfordCoreNLP.java:555)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda/544724190.apply(Unknown Source)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.lambda$null(StanfordCoreNLP.java:625)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$$Lambda/1673605040.get(Unknown Source)
at edu.stanford.nlp.util.Lazy.compute(Lazy.java:126)
at edu.stanford.nlp.util.Lazy.get(Lazy.java:31)
at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:149)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:495)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:201)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:194)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:181)
at test.test.main(test.java:17)

Answer 1

您需要运行您的 Java 进程使用更多内存。在命令行上，您通常使用 java -Xmx5g ... 来执行此操作。我不确定具体应该为代码使用多少内存，但我认为 4g 左右应该没问题。 less 也可能有效。

当我们运行共指解析程序时它会抛出一个错误，我该如何解决？

When we run coreference resolution program it will throw an error how can i solve?

java

nlp

stanford-nlp

opennlp

当我们 运行 共指解析程序时它会抛出一个错误，我该如何解决？

When we run coreference resolution program it will throw an error how can i solve?

java

nlp

stanford-nlp

opennlp

当我们运行共指解析程序时它会抛出一个错误，我该如何解决？