Question

我正在尝试从core-nlp测试coreference解析系统。从Running coreference resolution on raw text开始，我了解设置＆＃39; dcoref系统的常规属性＆＃39;。

我想根据模块的延迟在共同参考系统[确定性，统计，神经]之间进行选择。命令行使用对我来说很清楚，如何将此选项用作API？

目前，我正在运行默认代码：

public static void main(String[] args) throws Exception {
    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,mention,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);
       }
    }

Answer 1

W'll，在挖掘corefProperties.class之后，我发现了需要改变的属性。

 props.setProperty("coref.language", "en");
 props.setProperty("coref.algorithm", "statistical");//"statistical" : "neural"

但是，更令人惊讶的是，要执行上面的示例测试文本。 Statistical method需要大约45秒，Neural需要大约30秒。（Intel i5 @ 2.00Ghz，8GB内存）。我在这里错过了什么吗？

如何在Stanford CoreNLP中选择Coreference解析系统

1 个答案: