class_docstr: Creates features for entity extraction.
class_docstr_tok: ["Creates","features","for","entity","extraction","."]
docstr: Returns the component's default config.
docstr_tok: ["Returns","the","component","'s","default","config","."]
code: def get_default_config() -> Dict[Text, Any]:
      """Returns the component's default config."""
      return {
          # Flag to check whether to split intents
          "intent_tokenization_flag": False,
          # Symbol on which intent should be split
          "intent_split_symbol": "_",
          # Regular expression to detect tokens
          "token_pattern": None,
          # Symbol on which prefix should be split
          "prefix_separator_symbol": None,
      }
  
imports: from __future__ import annotations
  from typing import Any, Dict, List, Optional, Text
  import regex
  import rasa.shared.utils.io
  import rasa.utils.io
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
  from rasa.shared.constants import DOCS_URL_COMPONENTS
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 2 for calling the WhitespaceTokenizer obj's underlying member method code with example usage: obj.get_default_config() and returns: dict