docstr: Method to load referent dictionary to memory
  
  Returns:
      List[RelationType]
docstr_tok: ["Method","to","load","referent","dictionary","to","memory","Returns",":","List","[","RelationType","]"]
code: def load_verbocean_file(fname: str) -> Dict[str, Dict[str, str]]:
      """
      Method to load referent dictionary to memory
  
      Returns:
          List[RelationType]
      """
      word_dict = {}
      with open(fname) as f:
          for line in f:
              word1, rel, word2, _, _ = line.strip().split()
              if word1 not in word_dict:
                  word_dict[word1] = {}
              word_dict[word1][word2] = rel
      return word_dict
  
file_path: nlp-architect/nlp_architect/data/cdc_resources/relations/verbocean_relation_extraction.py
imports: import logging
  import os
  from typing import Dict, Set
  from nlp_architect.common.cdc.mention_data import MentionDataLight
  from nlp_architect.data.cdc_resources.relations.relation_extraction import RelationExtraction
  from nlp_architect.data.cdc_resources.relations.relation_types_enums import RelationType, OnlineOROfflineMethod
  from nlp_architect.utils.io import load_json_file
  from nlp_architect.utils.string_utils import StringUtils
label_desc: Use image node_id 6 for calling the VerboceanRelationExtraction obj's underlying member method code with example usage: obj.load_verbocean_file(fname) and returns: word_dict