Question

我正在使用stanford CoreNLP试图找到名词短语的语法关系。

以下是一个例子：

鉴于句子＆＃34;健身房很脏。＆＃34;

我设法确定＆＃34;健身室＆＃34;作为我的目标名词短语。我现在正在寻找一种方法来找到＆＃34;脏＆＃34;形容词与健身室有关系＃34; ，不仅仅是＆＃34;房间＆＃34;。

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); 

    }

}

我用Stanford CoreNLP在句子中提取了它的根树对象。在这个树对象上，我设法使用TregexPattern和TregexMatcher提取名词短语。这给了我一个包含实际名词短语的子树。我想知道的是在原始句子中找到名词短语的修饰语。

typedDependecies ouptut给了我以下内容：

typedDependencies: [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)]

我可以看到 nsubj（dirty-5，room-3），但我没有完整的名词短语作为支配者。

我希望我足够清楚。任何帮助表示赞赏。

Answer 1

键入的依赖项执行表明形容词'dirty'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'标签是名词复合修饰符，表示'fitness'是'room'的修饰符。

您可以在Stanford dependency manual中找到有关依赖关系标记的详细信息。

Answer 2

修改方法

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

如何使用Stanford Parser或Stanford CoreNLP找到名词短语的语法关系

2 个答案: