code: def _remove_pos_from_start(phrase):
      tag_list = ["WDT", "PRP$", ":"]
      pos_list = [
          "PUNCT",
          "INTJ",
          "NUM",
          "PART",
          "ADV",
          "DET",
          "PRON",
          "VERB",
      ]
      if phrase:
          while len(phrase) > 0 and (
              phrase[0].pos_ in pos_list or phrase[0].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 10 for calling a global function with example usage: _remove_pos_from_start(phrase) and returns: phrase