class_docstr: WordNet service
class_docstr_tok: ["WordNet","service"]
docstr: extract WordNet indicator-feature (1 if exist in WordNet, else 0)
  
  Args:
      candidates (list(str)): a list of all possible candidates to have WordNet entry
  
  Returns:
      int: 1 if exist in WordNet for any candidate in candidates, else 0
docstr_tok: ["extract","WordNet","indicator-feature","(","1","if","exist","in","WordNet",",","else","0",")","Args",":","candidates","(","list","(","str",")",")",":","a","list","of","all","possible","candidates","to","have","WordNet","entry","Returns",":","int",":","1","if","exist","in","WordNet","for","any","candidate","in","candidates",",","else","0"]
code: def find_wordnet_existence(self, candidates):
      """
      extract WordNet indicator-feature (1 if exist in WordNet, else 0)
  
      Args:
          candidates (list(str)): a list of all possible candidates to have WordNet entry
  
      Returns:
          int: 1 if exist in WordNet for any candidate in candidates, else 0
      """
      for candidate in candidates:
          candidate = candidate.replace(" ", "_")
          if self.wordnet.synsets(candidate):
              return 1
      return 0
  
imports: import nltk
  import nltk.corpus
  import numpy
  import requests
  from gensim.models.keyedvectors import KeyedVectors
  from nltk.corpus import wordnet
  from nltk.stem.snowball import SnowballStemmer
  from nlp_architect.utils.generic import license_prompt
label_desc: Use image node_id 2 for calling the Wordnet obj's underlying member method code with example usage: obj.find_wordnet_existence(candidates) and returns: int, int