code: def _normalize_word(word):
      if word == "/." or word == "/?":
          return word[1:]
      else:
          return word
  
file_path: magnitude/pymagnitude/third_party/allennlp/data/dataset_readers/ontonotes_ner.py
imports: from __future__ import absolute_import
  import logging
  from allennlp.common.file_utils import cached_path
  from allennlp.common.checks import ConfigurationError
  from allennlp.data.dataset_readers.dataset_reader import DatasetReader
  from allennlp.data.fields import Field, TextField, SequenceLabelField, MetadataField
  from allennlp.data.instance import Instance
  from allennlp.data.token_indexers import SingleIdTokenIndexer, TokenIndexer
  from allennlp.data.tokenizers import Token
  from allennlp.data.dataset_readers.dataset_utils import Ontonotes, OntonotesSentence, to_bioul
label_desc: Use image node_id 1 for calling a global function with example usage: _normalize_word(word) and returns: word, word