docstr: Return all supported relations by this class
  
  Returns:
      List[RelationType]
docstr_tok: ["Return","all","supported","relations","by","this","class","Returns",":","List","[","RelationType","]"]
code: def get_supported_relations() -> List[RelationType]:
      """
      Return all supported relations by this class
  
      Returns:
          List[RelationType]
      """
      return [RelationType.WORD_EMBEDDING_MATCH]
  
file_path: nlp-architect/nlp_architect/data/cdc_resources/relations/word_embedding_relation_extraction.py
imports: import logging
  import math
  from typing import List, Set
  from scipy.spatial.distance import cosine
  from nlp_architect.common.cdc.mention_data import MentionDataLight
  from nlp_architect.data.cdc_resources.embedding.embed_elmo import ElmoEmbedding, ElmoEmbeddingOffline
  from nlp_architect.data.cdc_resources.embedding.embed_glove import GloveEmbedding, GloveEmbeddingOffline
  from nlp_architect.data.cdc_resources.relations.relation_extraction import RelationExtraction
  from nlp_architect.data.cdc_resources.relations.relation_types_enums import EmbeddingMethod, RelationType
  from nlp_architect.utils.string_utils import StringUtils
label_desc: Use image node_id 5 for calling the WordEmbeddingRelationExtraction obj's underlying member method code with example usage: obj.get_supported_relations() and returns: list