小编Bri*_*ill的帖子

我正在尝试使用 spaCy Matcher 工作获得以下简单示例：

import en_core_web_sm
from spacy.matcher import Matcher

nlp = en_core_web_sm.load()
matcher = Matcher(nlp.vocab)

pattern1 = [{'IS_DIGIT': True}, {'ORTH': '.'}, {'IS_DIGIT': True}, {'ORTH': '.'}, {'IS_DIGIT': True}, {'ORTH': '.'}, {'IS_DIGIT': True}]
pattern2 = [{'LIKE_NUM': True}, {'ORTH': '.'}, {'LIKE_NUM': True}, {'ORTH': '.'}, {'LIKE_NUM': True}, {'ORTH': '.'}, {'LIKE_NUM': True}]
pattern3 = [{'IS_DIGIT': True}, {'IS_PUNCT': True}, {'IS_DIGIT': True}, {'IS_PUNCT': True}, {'IS_DIGIT': True}, {'IS_PUNCT': True}, {'IS_DIGIT': True}]

matcher.add('IP', None, pattern1, pattern2, pattern3)

doc = nlp(u'This is an IP address: 192.168.1.1')

matches = matcher(doc) …