模式匹配中的 SPACY 否定运算符
我正在尝试在 spaCy 中编写一个与“黑色”匹配但不与“黑豆”匹配的模式。
我尝试了下面的代码，但它似乎与“black”旁边的标记匹配，只要它不是“bean”。如何修改以仅匹配“黑色”？
nlp = spacy.load("en_core_web_sm")
matcher = Matcher(nlp.vocab)
#pattern = [{"LOWER": "black"}, {"LEMMA": {"NOT_IN": ["bean", "beans"]}}]
pattern = [{"LOWER": "black"}, {"LEMMA": "bean", "OP": "!"}]
matcher.add("blackbeans", [pattern])
doc = nlp("I liked the black beans, but the avocado was black making the whole meal blackish-looking and not good.")
matches = matcher(doc)
for match_id, start, end in matches:
string_id = nlp.vocab.strings[match_id] # Get string representation
span = doc[start:end] # The matched span
print(match_id, string_id, start, end, span.text)
I am trying to write a pattern in spaCy that matches against "black" but not "black beans."
I tried the code below, but it seems to match the token that is next to "black" so long as it is not "bean." How do I modify to match against only "black"?
nlp = spacy.load("en_core_web_sm")
matcher = Matcher(nlp.vocab)
#pattern = [{"LOWER": "black"}, {"LEMMA": {"NOT_IN": ["bean", "beans"]}}]
pattern = [{"LOWER": "black"}, {"LEMMA": "bean", "OP": "!"}]
matcher.add("blackbeans", [pattern])
doc = nlp("I liked the black beans, but the avocado was black making the whole meal blackish-looking and not good.")
matches = matcher(doc)
for match_id, start, end in matches:
string_id = nlp.vocab.strings[match_id] # Get string representation
span = doc[start:end] # The matched span
print(match_id, string_id, start, end, span.text)
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评论（2）
没有办法做到这一点 - 匹配器返回输入模式描述的每个标记。否定模式也不匹配非标记，因此如果“black”是句子中的最后一个标记，则您的模式将失败。
有几种方法可以解决此问题：
There's no way to do this - the Matcher returns every token described by the input pattern. The negation pattern also doesn't match non-tokens, so your pattern will fail if "black" is the last token in a sentence.
There are a couple of ways to work around this: