code: def _remove_non_alphanum_from_start(phrase):
      if len(phrase) > 1 and not phrase[0].is_alpha:
          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 5 for calling a global function with example usage: _remove_non_alphanum_from_start(phrase) and returns: phrase