class_docstr: @article{zhang2017chinese,
  title={Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs},
  author={Zhang, Sheng and Zhang, Xin and Wang, Hui and Cheng, Jiajun and Li, Pei and Ding, Zhaoyun},
  journal={Applied Sciences},
  volume={7},
  number={8},
  pages={767},
  year={2017},
  publisher={Multidisciplinary Digital Publishing Institute}
  }
  
  @ARTICLE{8548603, 
  author={S. Zhang and X. Zhang and H. Wang and L. Guo and S. Liu}, 
  journal={IEEE Access}, 
  title={Multi-Scale Attentive Interaction Networks for Chinese Medical Question Answer Selection}, 
  year={2018}, 
  volume={6}, 
  number={}, 
  pages={74061-74071}, 
  keywords={Biomedical imaging;Data mining;Semantics;Medical services;Feature extraction;Knowledge discovery;Medical question answering;interactive attention;deep learning;deep neural networks}, 
  doi={10.1109/ACCESS.2018.2883637}, 
  ISSN={2169-3536}, 
  month={},}
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code: def get_templates(self):
      return ["问题：{question} {options}"]
  
imports: from .processor import *
label_desc: Use image node_id 3 for calling the CMedQA obj's underlying member method code with example usage: obj.get_templates() and returns: list