code: def preprocess_bert_paragraph(
      self, paragraph: List[str]
  ) -> List[List[str]]:
      new_paragraph = []
      for i, sentence in enumerate(paragraph):
          new_sentence = []
          if i == 0:
              new_sentence.append("[CLS]")
          preproc_sentence = self.preprocess_bert_sentence(sentence)
          for word in preproc_sentence:
              new_sentence.append(word.strip())
          new_paragraph.append(new_sentence)
      return new_paragraph
  
imports: import json
  from collections import OrderedDict
  from pathlib import Path
  from typing import List
  import re
  import numpy
  import torch
  import torch.utils.data
  from tqdm import tqdm
  from gluoncv.torch.utils import coot_utils
label_desc: Use image node_id 3 for calling the VideoDatasetFeatures obj's underlying member method code with example usage: obj.preprocess_bert_paragraph(paragraph) and returns: new_paragraph