如何解决用前面提到的人代替人称代词嘈杂的coref
我想做一个嘈杂的解析,以便给定一个人称代词,该代词被先前的(最近的)人代替。
例如:
Alex is looking at buying a U.K. startup for $1 billion. He is very confident that this is going to happen. Sussan is also in the same situation. However,she has lost hope.
输出为:
Alex is looking at buying a U.K. startup for $1 billion. Alex is very confident that this is going to happen. Sussan is also in the same situation. However,Susan has lost hope.
另一个例子,
Peter is a friend of Gates. But Gates does not like him.
Peter is a friend of Gates. But Gates does not like Gates.
是的!这太吵了。
使用空格:
我已经使用NER提取了Person
,但是如何适当替换代词呢?
代码:
import spacy
nlp = spacy.load("en_core_web_sm")
for ent in doc.ents:
if ent.label_ == 'PERSON':
print(ent.text,ent.label_)
解决方法
我已经编写了一个适用于您的两个示例的函数:
请考虑使用更大的模型,例如en_core_web_lg
以获得更准确的标记。
import spacy
from string import punctuation
nlp = spacy.load("en_core_web_lg")
def pronoun_coref(text):
doc = nlp(text)
pronouns = [(tok,tok.i) for tok in doc if (tok.tag_ == "PRP")]
names = [(ent.text,ent[0].i) for ent in doc.ents if ent.label_ == 'PERSON']
doc = [tok.text_with_ws for tok in doc]
for p in pronouns:
replace = max(filter(lambda x: x[1] < p[1],names),key=lambda x: x[1],default=False)
if replace:
replace = replace[0]
if doc[p[1] - 1] in punctuation:
replace = ' ' + replace
if doc[p[1] + 1] not in punctuation:
replace = replace + ' '
doc[p[1]] = replace
doc = ''.join(doc)
return doc
,
有专门专用的neuralcoref库来解决共指。请参见下面的最小可复制示例:
import spacy
import neuralcoref
nlp = spacy.load('en_core_web_sm')
neuralcoref.add_to_pipe(nlp)
doc = nlp(
'''Alex is looking at buying a U.K. startup for $1 billion.
He is very confident that this is going to happen.
Sussan is also in the same situation.
However,she has lost hope.
Peter is a friend of Gates. But Gates does not like him.
''')
print(doc._.coref_resolved)
Alex is looking at buying a U.K. startup for $1 billion.
Alex is very confident that this is going to happen.
Sussan is also in the same situation.
However,Sussan has lost hope.
Peter is a friend of Gates. But Gates does not like Peter.
请注意,如果您通过点子安装neuralcoref
可能会遇到一些问题,所以最好像我概述的那样here
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