class_docstr: Entity extractor which uses SpaCy.
class_docstr_tok: ["Entity","extractor","which","uses","SpaCy","."]
docstr: Lists required dependencies (see parent class for full docstring).
docstr_tok: ["Lists","required","dependencies","(","see","parent","class","for","full","docstring",")","."]
code: def required_packages() -> List[Text]:
      """Lists required dependencies (see parent class for full docstring)."""
      return ["spacy"]
  
imports: import typing
  from typing import Any, Dict, List, Text, Type
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.nlu.constants import ENTITIES, TEXT
  from rasa.nlu.utils.spacy_utils import SpacyModel, SpacyNLP
  from rasa.nlu.extractors.extractor import EntityExtractorMixin
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 5 for calling the SpacyEntityExtractor obj's underlying member method code with example usage: obj.required_packages() and returns: list