class_docstr: Is needed to give a roughly estimate of the anaphoricity of two candidates,
  only top scoring candidates are considered on later steps to reduce
  computational complexity.
code: def __init__(self, features: int, config: Config):
      super().__init__()
      self.dropout = torch.nn.Dropout(config.dropout_rate)
      self.bilinear = torch.nn.Linear(features, features)
  
      self.k = config.rough_k
  
imports: from typing import Tuple
  import torch
  from stanza.models.coref.config import Config
label_desc: Use image node_id 1 to create a new RoughScorer object from inherited base classes: torch.nn with example: obj = RoughScorer(features, config)