如何用spaCy从句子中删除一个实体？

Question

如何使用从语句中删除？我想删除ORP，GPE，货币，普通，或百分比的实体随机。例如,

唐纳德·特朗普·特朗普(

Donald John persondate)是美国统一组织( United StatesGPE )第45位、现任总统。在从政之前，他是一名商人和电视名人。

现在，我如何从这个句子中删除一个特定的实体？在这个例子中，函数选择删除第45，一个序号实体。

>>> sentence = 'Donald John Trump (born June 14, 1946) is the 45th and current president of the United States. Before entering politics, he was a businessman and television personality.'
>>> remove(sentence)
45th

Answer 1

请与Spacy和np.random.choice一起试用

import spacy
nlp = spacy.load("en_core_web_md")

sentence = 'Donald John Trump (born June 14, 1946) is the 45th and current president of the United States. Before entering politics, he was a businessman and television personality.'
doc = nlp(sentence)

ents = [e.text for e in doc.ents if e.label_ in ("NORP", "GPE", "MONEY", "ORDINAL","PERCENT")]
remove = lambda x: str(np.random.choice(x))
# expected output
remove(ents)
'45th'

如果您希望从句子文本中删除一个随机实体：

def remove_from_sentence(sentence):
    doc = nlp(sentence)
    with doc.retokenize() as retokenizer:
        for e in doc.ents:
            retokenizer.merge(doc[e.start:e.end])
    tok_pairs = [(tok.text, tok.whitespace_) for tok in doc]
    ents = [e.text for e in doc.ents if e.label_ in ("NORP", "GPE", "MONEY", "ORDINAL","PERCENT")]
    ent_to_remove = remove(ents)
    print(ent_to_remove)
    tok_pairs_out = [pair for pair in tok_pairs if pair[0] != ent_to_remove]
    return "".join(np.array(tok_pairs_out).ravel())

remove_from_sentence(sentence)

the United States
'Donald John Trump (born June 14, 1946) is the 45th and current president of . Before entering politics, he was a businessman and television personality.'

如果有什么不清楚，请问一问。