如何在Stanford CoreNLP中获取短语标签? [英] How to get phrase tags in Stanford CoreNLP?

问题描述

如果我想获得与每个单词相对应的词组标签，该如何获得?

If I want to get phrase tags corresponding each word, how to I get this?

例如:

在这句话中，

我的狗也喜欢吃香肠.

My dog also likes eating sausage.

我可以在Stanford NLP中获得一个解析树，例如

I can get a parse tree in Stanford NLP such as

(ROOT (S (NP (PRP$ My) (NN dog)) (ADVP (RB also)) (VP (VBZ likes) (NP (JJ eating) (NN sausage))) (. .)))

在上述情况下，我想获取与每个单词相对应的词组标签

In the above situtation, I want to get phrase tags corresponding each word like

(My - NP), (dog - NP), (also - ADVP), (likes - VP), ...

有什么方法可以对短语标签进行这种简单提取?

Is there any method for this simple extraction for phrase tags?

请帮助我.

推荐答案

//I guess this is how you get your parse tree.
Tree tree = sentAnno.get(TreeAnnotation.class);

//The children of a Tree annotation is an array of trees.
Tree[] children = parent.children() 

//Check the label of any sub tree to see whether it is what you want (a phrase)
for (Tree child: children){
   if (child.value().equals("NP")){// set your rule of defining Phrase here
          List<Tree> leaves = child.getLeaves(); //leaves correspond to the tokens
          for (Tree leaf : leaves){ 
            List<Word> words = leaf.yieldWords();
            for (Word word: words)
                System.out.print(String.format("(%s - NP),",word.word()));
          }
   }
}

该代码尚未经过全面测试，但我认为它可以满足您的需求.而且，我没有写任何关于递归访问子树的内容，但我相信您应该能够做到这一点.

The code is not fully tested but I think it roughly do what you need. And what's more is I didn't write anything about recursively visit the subtrees but I believe you should be able to do that.

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