code: def _get_default_param():
      """
      Get the default parameters.
  
      """
      param = {
          "pretrained_model_folder": "./trained_models/conll_2003_en",
          "dataset_text_folder": "./data/conll2003/en",
          "character_embedding_dimension": 25,
          "character_lstm_hidden_state_dimension": 25,
          "check_for_digits_replaced_with_zeros": True,
          "check_for_lowercase": True,
          "debug": False,
          "dropout_rate": 0.5,
          "experiment_name": "experiment",
          "freeze_token_embeddings": False,
          "gradient_clipping_value": 5.0,
          "learning_rate": 0.005,
          "load_only_pretrained_token_embeddings": False,
          "load_all_pretrained_token_embeddings": False,
          "main_evaluation_mode": "conll",
          "maximum_number_of_epochs": 100,
          "number_of_cpu_threads": 8,
          "number_of_gpus": 0,
          "optimizer": "sgd",
          "output_folder": "./output",
          "output_scores": False,
          "patience": 10,
          "parameters_filepath": os.path.join(".", "parameters.ini"),
          "plot_format": "pdf",
          "reload_character_embeddings": True,
          "reload_character_lstm": True,
          "reload_crf": True,
          "reload_feedforward": True,
          "reload_token_embeddings": True,
          "reload_token_lstm": True,
          "remap_unknown_tokens_to_unk": True,
          "spacylanguage": "en",
          "tagging_format": "bioes",
          "token_embedding_dimension": 100,
          "token_lstm_hidden_state_dimension": 100,
          "token_pretrained_embedding_filepath": "./data/word_vectors/glove.6B.100d.txt",
          "tokenizer": "spacy",
          "train_model": True,
          "use_character_lstm": True,
          "use_crf": True,
          "use_pretrained_model": False,
          "verbose": False,
      }
  
      return param
  
imports: import codecs
  import configparser
  import copy
  import distutils.util
  import glob
  import os
  import pickle
  from pprint import pprint
  import random
  import shutil
  import sys
  import time
  import warnings
  import pkg_resources
  import numpy
  import matplotlib
  import tensorflow
  from tensorflow.contrib.tensorboard.plugins import projector
  from neuroner import train
  from neuroner import dataset
  from neuroner.entity_lstm import EntityLSTM
  from neuroner import utils
  from neuroner import conll_to_brat
  from neuroner import evaluate
  from neuroner import brat_to_conll
  from neuroner import utils_nlp
label_desc: Use image node_id 4 for calling a global function with example usage: _get_default_param() and returns: param