code: def _filter_empty(phrase):
      if (
          phrase is None
          or len(phrase) == 0
          or len(phrase.text) == 0
          or len(str(phrase.text).strip()) == 0
      ):
          return None
      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 15 for calling a global function with example usage: _filter_empty(phrase) and returns: phrase, None