class_docstr: Compute words embedding features for mentions
code: def get_stat_word(self, word):
      if word in self.static_embeddings:
          return word, self.static_embeddings.get(word)
      else:
          return UNKNOWN_WORD, self.fallback
  
imports: import re
  import io
  from six import string_types, integer_types
  from spacy.tokens import Span, Token
  from neuralcoref.train.compat import unicode_
  from neuralcoref.train.utils import encode_distance, parallel_process
  import spacy
  import numpy
label_desc: Use image node_id 5 for calling the EmbeddingExtractor obj's underlying member method code with example usage: obj.get_stat_word(word) and returns: word,  self, UNKNOWN_WORD,  self