code: def _remove_pos_from_end(phrase):
      tag_list = ["WDT", ":"]
      pos_list = ["DET", "PUNCT", "CONJ"]
      if phrase:
          while len(phrase) > 0 and (
              phrase[-1].pos_ in pos_list or phrase[-1].tag_ in tag_list
          ):
              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 11 for calling a global function with example usage: _remove_pos_from_end(phrase) and returns: phrase