I am new to Spacy
and I would like to extract \"all\" the noun phrases from a sentence. I\'m wondering how I can do it. I have the following code:
i
Please see commented code below to recursively combine the nouns. Code inspired by the Spacy Docs here
import spacy
nlp = spacy.load("en")
doc = nlp("We try to explicitly describe the geometry of the edges of the images.")
for np in doc.noun_chunks: # use np instead of np.text
print(np)
print()
# code to recursively combine nouns
# 'We' is actually a pronoun but included in your question
# hence the token.pos_ == "PRON" part in the last if statement
# suggest you extract PRON separately like the noun-chunks above
index = 0
nounIndices = []
for token in doc:
# print(token.text, token.pos_, token.dep_, token.head.text)
if token.pos_ == 'NOUN':
nounIndices.append(index)
index = index + 1
print(nounIndices)
for idxValue in nounIndices:
doc = nlp("We try to explicitly describe the geometry of the edges of the images.")
span = doc[doc[idxValue].left_edge.i : doc[idxValue].right_edge.i+1]
span.merge()
for token in doc:
if token.dep_ == 'dobj' or token.dep_ == 'pobj' or token.pos_ == "PRON":
print(token.text)