Question

我得到

的标记和名词短语

text = ("This is commonly referred to as global warming or climate change.")
doc = nlp(text)

for token in doc:
    print(token.i, token.text)

print("Noun phrases:", [chunk.text for chunk in doc.noun_chunks])

结果是

0 This
1 is
2 commonly
3 referred
4 to
5 as
6 global
7 warming
8 or
9 climate
10 change
11 .
Noun phrases: ['global warming', 'climate change']

是否可以获取名词短语而不是单词的标记索引？例如

Noun phrases: ['6,7', '9,10']

Answer 1

您可以使用this article by Baeldung属性：

start   int     The index of the first token of the span.
end     int     The index of the first token after the span.

所以，使用

print("Noun phrases:", [(chunk.start,chunk.end-1) for chunk in doc.noun_chunks])
# => Noun phrases: [(6, 7), (9, 10)]

或者，如果您需要用逗号分隔的字符串项目，

 ["{},{}".format(chunk.start,chunk.end-1) for chunk in doc.noun_chunks]
 ## => Noun phrases: ['6,7', '9,10']

如何在spaCy中获取名词短语的令牌？

1 个答案: