从ROOT到token提取依赖关系的路径？空间

问题描述

从ROOT到token提取依赖关系的路径？空间。 我有它的代码提取整个路径

import spacy

sentence = "I saw the man with a telescop"

nlp = spacy.load('en')
doc = nlp(sentence)

for sent in doc.sents:
    for token in sent:
        print("{}\t{}\t{}\t{}".format(token.i,token.text,token.head,token.dep_))

解决方法

依赖树基本上是一个图，所以如果你想找到ROOT的（最短）路径，你需要使用一些基于图的库，比如networkx。假设您想从标记“telescop”中提取到根的路径。那么你可以尝试做这样的事情：

import spacy
import networkx

sentence = "I saw the man with a telescop"

nlp = spacy.load('en_core_web_sm')
doc = nlp(sentence)
edges = []

for sent in doc.sents:
    for token in sent:
        print("{}\t{}\t{}\t{}".format(token.i,token.text,token.head,token.dep_))
        if token.dep_ == "ROOT":
            target = token.text
        for child in token.children:
            edges.append(("{0}".format(token.lower_),"{0}".format(child.lower_)))


graph = networkx.Graph(edges)
print(nx.shortest_path(graph,source="telescop",target=target))

结果：

0   I   saw nsubj
1   saw saw ROOT
2   the man det
3   man saw dobj
4   with    saw prep
5   a   telescop    det
6   telescop    with    pobj
['telescop','with','saw']