code: def _remove_char_at_end(phrase):
      chars = [",", "(", ")", " ", "-"]
      if phrase:
          while len(phrase) > 0 and phrase[-1].text in chars:
              phrase = phrase[:-1]
      return phrase
  
imports: import pickle
  from os import path
  import numpy
  import spacy
  from spacy.tokens import Doc
  from spacy.tokens import Span
  from nlp_architect.models.chunker import SequenceChunker
  from nlp_architect.utils.generic import pad_sentences
  from nlp_architect.utils.io import validate_existing_filepath
  from nlp_architect.utils.text import extract_nps, Stopwords
label_desc: Use image node_id 9 for calling a global function with example usage: _remove_char_at_end(phrase) and returns: phrase