class_docstr: Simple Spacy pipe with NP extraction annotations
docstr: Parse a given text and return a list of noun phrases found
  
  Args:
      text (str): a text string
  
  Returns:
      list of noun phrases as strings
code: def __call__(self, text: str) -> [str]:
      """
      Parse a given text and return a list of noun phrases found
  
      Args:
          text (str): a text string
  
      Returns:
          list of noun phrases as strings
      """
      return [np.text for np in get_noun_phrases(self.nlp(text))]
  
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 2 for calling the SpacyNPAnnotator obj's underlying member method code with example usage: obj.__call__(text) and returns: unknown