如何在Python语言中从CoreNLP服务器返回的字符串中获取解析树？

Question

我在corenlp服务器上使用pycorenlp。我可以得到字符串格式的解析树。但是我可以像NLTK库一样以树的形式获取它吗？

from pycorenlp import StanfordCoreNLP
import pprint
import nltk

nlp = StanfordCoreNLP('http://localhost:9000')

text = ('Purgrug Vobter and Juklog Qligjar vruled into the Battlefield. Vobter was about to Hellfire. Juklog Qligjar started kiblaring.')

output = nlp.annotate(text, properties={
'annotators': 'tokenize,ssplit,pos,depparse,parse',
'outputFormat': 'json'
})


print [s['parse'] for s in output['sentences']]

输出：

[u'(ROOT\r\n  (S\r\n    (NP (NNP Purgrug) (NNP Vobter)\r\n      (CC and)\r\n      (NNP Juklog) (NNP Qligjar))\r\n    (VP (VBD vruled)\r\n      (PP (IN into)\r\n        (NP (DT the) (NN Battlefield))))\r\n    (. .)))', u'(ROOT\r\n  (S\r\n    (NP (NNP Vobter))\r\n    (VP (VBD was)\r\n      (ADJP (IN about)\r\n        (PP (TO to)\r\n          (NP (NNP Hellfire)))))\r\n    (. .)))', u'(ROOT\r\n  (S\r\n    (NP (NNP Juklog) (NNP Qligjar))\r\n    (VP (VBD started)\r\n      (S\r\n        (VP (VBG kiblaring))))\r\n    (. .)))']

Answer 1

从nltk导入树：

from nltk.tree import *

下一步，for

a = [u'(ROOT\r\n  (S\r\n    (NP (NNP Purgrug) (NNP Vobter)\r\n      (CC and)\r\n      (NNP Juklog) (NNP Qligjar))\r\n    (VP (VBD vruled)\r\n      (PP (IN into)\r\n        (NP (DT the) (NN Battlefield))))\r\n    (. .)))', u'(ROOT\r\n  (S\r\n    (NP (NNP Vobter))\r\n    (VP (VBD was)\r\n      (ADJP (IN about)\r\n        (PP (TO to)\r\n          (NP (NNP Hellfire)))))\r\n    (. .)))', u'(ROOT\r\n  (S\r\n    (NP (NNP Juklog) (NNP Qligjar))\r\n    (VP (VBD started)\r\n      (S\r\n        (VP (VBG kiblaring))))\r\n    (. .)))']

Tree.fromstring(a[0]).pretty_print()

仅此而已。

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