code: def get_neighbor_sentence_ngrams(
      mention, d=1, attrib="words", n_min=1, n_max=1, lower=True
  ):
      
      spans = _to_spans(mention)
      for span in spans:
          for ngram in chain.from_iterable(
              [
                  tokens_to_ngrams(
                      getattr(sentence, attrib), n_min=n_min, n_max=n_max, lower=lower
                  )
                  for sentence in span.sentence.document.sentences
                  if abs(sentence.position - span.sentence.position) <= d
                  and sentence != span.sentence
              ]
          ):
              yield ngram
docs: Get the ngrams that are in the neighoring Sentences of the given Mention.
  
      Note that if a candidate is passed in, all of its Mentions will be searched.
  
      :param mention: The Mention whose neighbor Sentences are being searched
      :param attrib: The token attribute type (e.g. words, lemmas, poses)
      :param n_min: The minimum n of the ngrams that should be returned
      :param n_max: The maximum n of the ngrams that should be returned
      :param lower: If True, all ngrams will be returned in lower case
      :rtype: a *generator* of ngrams