原则上，这似乎接近于NER任务，您可以尝试注释样本并在其上训练序列标记模型。然而，这需要大量的工作才能使其正确：注释，然后可能需要大量的反复试验来调整正确的功能组合。

在这种情况下，我宁愿选择一些精心挑选的正则表达式，它们的性能可能大致相同，而不需要太多工作。

我认为正则表达式比使用机器学习更容易、更快捷。

请检查一下。

https://stackoverflow.com/questions/3868753/find-phone-numbers-in-python-script

这将解析出电话号码。

import re
Source = """I'm trying to find all customer phone numbers in our databases. One database has a field with free-form comments from our customer service center. Here is an obfuscated snippet:
multiple #'s 123-456-7890 and 2345678901...current account #2233445566
As you can see, this record contains two phone numbers and also a 10 digit account number. One of the phone numbers has dashes while the 2nd doesn't. Looking for parenthesis helps, but only finds a small set. There are also other 10 digit numbers that could look like a phone number but in fact aren't."""

pattern = re.compile(r'(\d{3}[-\.\s]??\d{3}[-\.\s]??\d{4}|\(\d{3}\)\s*\d{3}[-\.\s]??\d{4}|\d{3}[-\.\s]??\d{4})')
for m in re.finditer(pattern, Source):
    print(m)

结果：

<re.Match object; span=(191, 203), match='123-456-7890'>
<re.Match object; span=(208, 218), match='2345678901'>
<re.Match object; span=(238, 248), match='2233445566'>