spacy - 如何使用 Spacy Matcher 松散匹配单词之间的异常
问题描述
我的代码是
from spacy.matcher import Matcher
matcher = Matcher(nlp.vocab, validate=True)
pattern = [{'LOWER': 'play'},
{'OP': '*'}, {'OP': '!', 'LOWER': 'store'},
{'LOWER': {'IN': ["game", "pacman"]}}
]
matcher.add('HUNTING', None, pattern)
def extract_patterns(nlp_doc, matcher):
result_spans = []
matches = matcher(nlp_doc)
print("matches:", len(matches))
for match_id, start, end in matches:
span = nlp_doc[start:end]
result_spans.append(span)
return result_spans
text = ('play store game. \n play with pacman')
doc = nlp(text)
extract_patterns(doc, matcher=matcher)
上述代码的返回结果如下。
[play with pacman, play store game.
play with pacman]
但预期的结果是[play with pacman]
有可能与 Spacy Matcher 合作吗?
解决方案
你可以试试这样的模式
pattern = [{'LOWER': 'play'},
{'LOWER': {'NOT_IN': ["store"]}, 'OP': '*'},
{'LOWER': {'IN': ["game", "pacman"]}}
]
这将只给出“与 pacman 打网球”而不是“与 pacman 打网球商店”