如何使用Stanford Parser或Stanford CoreNLP查找名词短语的语法关系

我正在使用斯坦福大学的CoreNLP来寻找名词短语的语法关系

以下是一个例子：

给出了“健身室很脏”这句话

我设法把“健身室”作为我的目标名词短语。我现在正在寻找一种方法来发现“肮脏”形容词与“健身室”的关系，而不仅仅是与“房间”的关系

示例代码：

private static void doSentenceTest(){
    Properties props = new Properties();
    props.put("annotators","tokenize, ssplit, pos, lemma, ner, parse, dcoref");
    StanfordCoreNLP stanford = new StanfordCoreNLP(props);

    TregexPattern npPattern = TregexPattern.compile("@NP");

    String text = "The fitness room was dirty.";


    // create an empty Annotation just with the given text
    Annotation document = new Annotation(text);
    // run all Annotators on this text
    stanford.annotate(document);

    List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
    for (CoreMap sentence : sentences) {

        Tree sentenceTree = sentence.get(TreeCoreAnnotations.TreeAnnotation.class);
        TregexMatcher matcher = npPattern.matcher(sentenceTree);

        while (matcher.find()) {
            //this tree should contain "The fitness room" 
            Tree nounPhraseTree = matcher.getMatch();
            //Question : how do I find that "dirty" has a relationship to the nounPhraseTree


        }

        // Output dependency tree
        TreebankLanguagePack tlp = new PennTreebankLanguagePack();
        GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
        GrammaticalStructure gs = gsf.newGrammaticalStructure(sentenceTree);
        Collection<TypedDependency> tdl = gs.typedDependenciesCollapsed();

        System.out.println("typedDependencies: "+tdl); 

    }

}

在那里我可以看到nsubj（dirty-5，room-3）但是我没有完整的名词短语作为支配者

我希望我足够清楚。

---

感谢您的帮助。

键入的依赖项确实表明形容词“脏”适用于“健身室”：

det(room-3, The-1)
nn(room-3, fitness-2)
nsubj(dirty-5, room-3)
cop(dirty-5, was-4)
root(ROOT-0, dirty-5)

“nn”标记是名词复合修饰语，表示“fitness”是“room”的修饰语

您可以在中找到依赖项标记的详细信息。

修改该方法

Collection<TypedDependency> tdl = gs.typedDependenciesCollapsed(); with
Collection<TypedDependency> tdl = gs.typedDependenciesCCprocessed();
or
Collection<TypedDependency> tdl = gs.allDependencies(); 

Collection tdl=gs.typedDependenciesCollapsed（）；具有
集合tdl=gs.typedDependenciescpProcessed（）；
或
集合tdl=gs.allDependencies（）；

Collection<TypedDependency> tdl = gs.typedDependenciesCollapsed(); with
Collection<TypedDependency> tdl = gs.typedDependenciesCCprocessed();
or
Collection<TypedDependency> tdl = gs.allDependencies();