anchor.diff:  
   +code.
       from spacy.vocab import Vocab
  -    from spacy.pipeline import Tagger
  +    from spacy.tagger import Tagger
       from spacy.tagger import P2_orth, P1_orth
       from spacy.tagger import P2_cluster, P1_cluster, W_orth, N1_orth, N2_orth
   
  
positive.code:     from spacy.vocab import Vocab
      from spacy.pipeline import DependencyParser
      from spacy.tokens import Doc
  
      vocab = Vocab()
      parser = DependencyParser(vocab, labels=['nsubj', 'compound', 'dobj', 'punct'])
  
      doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
      parser.update(doc, [(1, 'nsubj'), (1, 'ROOT'), (3, 'compound'), (1, 'dobj'),
                          (1, 'punct')])
  
      parser.model.end_training()
  
  
negative.code:     from spacy.vocab import Vocab
      from spacy.pipeline import EntityRecognizer
      from spacy.tokens import Doc
      from spacy.gold import GoldParse
  
      vocab = Vocab()
      entity = EntityRecognizer(vocab, entity_types=['PERSON', 'LOC'])
  
      doc = Doc(vocab, words=['Who', 'is', 'Shaka', 'Khan', '?'])
      gold = GoldParse(doc, entities=['O', 'O', 'B-PERSON', 'L-PERSON', 'O'])
      entity.update(doc, gold)
  
      entity.model.end_training()
  
  