class_docstr: Processor for the DuEE data set.
docstr: See base class.
docstr_tok: ["See","base","class","."]
code: def get_labels(self, tag_path):
      """See base class."""
      tag_path = os.path.join(tag_path, self.task_name + "_tag.dict")
      return load_dict(tag_path).keys()
  
imports: from __future__ import absolute_import, division, print_function
  import json
  import logging
  import os
  import sys
  from copy import deepcopy
  from io import open
  from transformers import XLMRobertaTokenizer, BertTokenizer, RobertaTokenizer, AutoTokenizer
  from .utils_ee import read_by_lines, write_by_lines, load_dict, label_data, process_remained_pred_trigger, clear_wrong_tokens
  from torch.nn.utils.rnn import pad_sequence
  from tqdm import tqdm
label_desc: Use image node_id 5 for calling the DUEEProcessor obj's underlying member method code with example usage: obj.get_labels(tag_path) and returns: load_dict