使用spacy.matcher.matcher.Matcher.add()方法的问题

Question

我在尝试使用spacy matcher时遇到错误

~\Anaconda3\lib\site-packages\spacy\matcher\matcher.pyx in spacy.matcher.matcher.Matcher.add()
TypeError: add() takes exactly 2 positional arguments (3 given)

spacy.matcher.matcher.Matcher.add()有什么替代功能吗？

Answer 1

请参阅SpaCy Matcher.add() documentation

v3.0中更改了

从spaCy v3.0开始，Matcher.add接受模式列表作为第二个参数(而不是可变数量的参数)。on_match回调将成为一个可选的关键字参数。

patterns = [[{"TEXT": "Google"}, {"TEXT": "Now"}], [{"TEXT": "GoogleNow"}]] - matcher.add("GoogleNow", on_match, *patterns) + matcher.add("GoogleNow", patterns, on_match=on_match)

示例用法：

from spacy.matcher import Matcher

matcher = Matcher(nlp.vocab)
pattern = [{"LOWER": "hello"}, {"LOWER": "world"}]
matcher.add("HelloWorld", [pattern])
doc = nlp("hello world!")
matches = matcher(doc)

Answer 2

不使用matcher.add('Relation_name', None, pattern)

您可以使用：matcher.add('Relation_name', [pattern], on_match=None)

Answer 3

此外，如果要提取多个模式，则示例如下所示。

import spacy
nlp = spacy.load('en_core_web_sm')

from spacy.matcher import Matcher
matcher = Matcher(nlp.vocab)

pattern1 = [{'LOWER':'solarpower'}]
pattern2 = [{'LOWER':'solar'},{'IS_PUNCT':True},{'LOWER':'power'}]
pattern3 = [{'LOWER':'solar'},{'LOWER':'power'}]

matcher.add('SolarPower', [pattern1,pattern2,pattern3])
doc = nlp(u"The Solar Power industry continues to grow a solarpower increases. Solar-power is good")
found_matches = matcher(doc)


for _,start,end in found_matches:
    span = doc[start:end]
    print(span)

输出将为：

Solar Power 
solarpower 
Solar-power