我有这种格式的解析文本,我通过使用Standford nlp得到它。
(ROOT
(S
(NP (DT A) (NN passenger) (NN plane))
(VP (VBZ has)
(VP (VBD crashed)
(ADVP (RB shortly))
(PP (IN after)
(NP
(NP (NN take-off))
(PP (IN from)
(NP (NNP Kyrgyzstan) (`` `) (NNP scapital) (, ,) (NNP Bishkek)))))
(, ,)
(VP (VBG killing)
(NP
(NP (DT a) (JJ large) (NN number))
(PP (IN of)
(NP
(NP (DT those))
(PP (IN on)
(NP (NN board)))))))))
(. .)))
det(plane-3, A-1)
nn(plane-3, passenger-2)
nsubj(crashed-5, plane-3)
aux(crashed-5, has-4)
root(ROOT-0, crashed-5)
advmod(crashed-5, shortly-6)
prep_after(crashed-5, take-off-8)
nn(Bishkek-14, Kyrgyzstan-10)
nn(Bishkek-14, scapital-12)
prep_from(take-off-8, Bishkek-14)
dep(crashed-5, killing-16)
det(number-19, a-17)
amod(number-19, large-18)
dobj(killing-16, number-19)
prep_of(number-19, those-21)
prep_on(those-21, board-23)
我正在尝试构建一个RDF图,我需要一个工具或库来从中提取三元组(主题,对象,谓词)。
答案 0 :(得分:0)
您可以使用CoreNLP的 OpenIE 模块在此处访问三元组:
了解更多。 您可以进一步使用这些关系三元组来创建RDF图。