提取特定名词短语的空间 [英] Spacy to extract specific noun phrase

问题描述

我可以在python中使用spacy来查找具有特定邻居的NP吗?我想要文本中带有动词的名词短语.

Can I use spacy in python to find NP with specific neighbors? I want Noun phrases from my text that has verb before and after it.

推荐答案

1. 您可以合并名词短语(以使它们不会被单独地标记化).

2. 分析依赖性分析树，并查看相邻令牌的POS.

1. You can merge the noun phrases ( so that they do not get tokenized seperately).

2. Analyse the dependency parse tree, and see the POS of neighbouring tokens.

>>> import spacy
>>> nlp = spacy.load('en')
>>> sent = u'run python program run, to make this work'
>>> parsed = nlp(sent)
>>> list(parsed.noun_chunks)
[python program]
>>> for noun_phrase in list(parsed.noun_chunks):
...     noun_phrase.merge(noun_phrase.root.tag_, noun_phrase.root.lemma_, noun_phrase.root.ent_type_)
... 
python program
>>> [(token.text,token.pos_) for token in parsed]
[(u'run', u'VERB'), (u'python program', u'NOUN'), (u'run', u'VERB'), (u',', u'PUNCT'), (u'to', u'PART'), (u'make', u'VERB'), (u'this', u'DET'), (u'work', u'NOUN')]

通过分析相邻标记的POS，您可以获得所需的名词短语.

By analysing the POS of adjacent tokens, you can get your desired noun phrases.

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