class_docstr: A mention (possible anaphor) inherite from spacy Span class with additional informations
docstr: Does the nouns/proper nous in the Mention match another Mention/Span nouns/propers
docstr_tok: ["Does","the","nouns\/proper","nous","in","the","Mention","match","another","Mention\/Span","nouns\/propers"]
code: def relaxed_match(self, mention2):
      """Does the nouns/proper nous in the Mention match another Mention/Span nouns/propers"""
      return not self.propers.isdisjoint(mention2.propers)
  
imports: import re
  import io
  from six import string_types, integer_types
  from spacy.tokens import Span, Token
  from neuralcoref.train.compat import unicode_
  from neuralcoref.train.utils import encode_distance, parallel_process
  import spacy
  import numpy
label_desc: Use image node_id 11 for calling the Mention obj's underlying member method code with example usage: obj.relaxed_match(mention2) and returns: unknown