nltk.tree类的tree pretty打印格式如下:
print spacy2tree(nlp(u'Williams is a defensive coach') )
(S
(SUBJ Williams/NNP)
(PRED is/VBZ test/VBN)
a/DT
defensive/JJ
coach/NN)
作为树:
spacy2tree(nlp(u'Williams is a defensive coach') )
Tree('S', [Tree('SUBJ', [(u'Williams', u'NNP')]),
Tree('PRED', [(u'is', u'VBZ'), ('test', 'VBN')]), (u'a', u'DT'), (u'defensive', u'JJ'), (u'coach', u'NN')])
但是没有正确地摄取它:
tfs = spacy2tree(nlp(u'Williams is a defensive coach') ).pformat()
Tree.fromstring(tfs)
Tree('S', [Tree('SUBJ', ['Williams/NNP']),
Tree('PRED', ['is/VBZ', 'test/VBN']), 'a/DT', 'defensive/JJ', 'coach/NN'])
例如:
correct incorrect
('SUBJ', [(u'Williams', u'NNP')]) =vs=> ('SUBJ', ['Williams/NNP'])
('PRED', [(u'is', u'VBZ'), ('test', 'VBN')]) =vs=> ('PRED', ['is/VBZ', 'test/VBN'])
是否有一个工具可以正确地从字符串中摄取树
看来我明白了:
因此,现在这也可以正常工作:
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