  
  TRAINING_DIR = 'C:/Users/Sofie/Documents/data/wikipedia/training_data_nel/'
  
  MAX_CANDIDATES = 10
  MIN_ENTITY_FREQ = 200
  MIN_PAIR_OCC = 5
  DOC_SENT_CUTOFF = 2
  EPOCHS = 10
  DROPOUT = 0.1
  
 
</s> remove         print("Training on", train_limit, "articles")
        print("Dev testing on", dev_limit, "articles")
        print()
 </s> add  </s> remove             entries_by_offset = entries_per_article.get(article_id, dict())
            entries_by_offset[start + "-" + end] = (alias, wp_title)
 </s> add                     alias = fields[1]
                    wp_title = fields[2]
                    start = fields[3]
                    end = fields[4]

                    entries_by_offset = entries_per_article.get(article_id, dict())
                    entries_by_offset[start + "-" + end] = (alias, wp_title) </s> remove     to_read_kb = False
 </s> add     to_read_kb = True </s> remove     to_create_kb = True
 </s> add     to_create_kb = False </s> remove                     entries_by_offset = entries_per_article.get(article_id, dict())
 </s> add         except Exception as e:
            print("Problem parsing article", article_id)
            print(e)
            raise e
MIN_ENTITY_FREQ = 20
  
  TRAINING_DIR = 'C:/Users/Sofie/Documents/data/wikipedia/training_data_nel/'
  
  MAX_CANDIDATES = 10
MIN_ENTITY_FREQ = 20
  MIN_PAIR_OCC = 5
  DOC_SENT_CUTOFF = 2
  EPOCHS = 10
  DROPOUT = 0.1
  
keep keep keep keep replace keep keep keep keep keep
 reprocessing all of wikipedia for training data 
examples/pipeline/wiki_entity_linking/wiki_nel_pipeline.py