code: def __init__(self):
      super(EventSievesConfiguration, self).__init__()
  
      self.run_evaluation = True
  
      self.sieves_order = [
          (RelationType.SAME_HEAD_LEMMA, 1.0),
          (RelationType.EXACT_STRING, 1.0),
          (RelationType.WIKIPEDIA_DISAMBIGUATION, 0.1),
          (RelationType.WORD_EMBEDDING_MATCH, 0.7),
          (RelationType.WIKIPEDIA_REDIRECT_LINK, 0.1),
          (RelationType.FUZZY_HEAD_FIT, 0.5),
          (RelationType.FUZZY_FIT, 1.0),
          (RelationType.WITHIN_DOC_COREF, 1.0),
          (RelationType.WIKIPEDIA_TITLE_PARENTHESIS, 0.1),
          (RelationType.WIKIPEDIA_BE_COMP, 0.1),
          (RelationType.WIKIPEDIA_CATEGORY, 0.1),
          (RelationType.VERBOCEAN_MATCH, 0.1),
          (RelationType.WORDNET_DERIVATIONALLY, 1.0),
      ]
  
file_path: nlp-architect/nlp_architect/models/cross_doc_coref/sieves_config.py
imports: from typing import List, Tuple
  from nlp_architect.data.cdc_resources.relations.relation_types_enums import RelationType
label_desc: Use image node_id 1 to create a new EventSievesConfiguration object from inherited base classes: SievesConfiguration with example: obj = EventSievesConfiguration()