Bib Slim

Online version

• Purpose

  The slim.py script is a Python script that takes a bib file as input and outputs a slimmed version of the file. It has the following functions:

  • It removes unnecessary fields such as author, editor, timestamp, and url from the bib entries.
  • It reformats the booktitle/journal field by replacing it with a formal name/abbreviation.

• How to Use

  To use this demo, follow these steps:

  1. Clone the repository containing the demo files.
  2. Run the slim.py script on your bib file to slim it.

• Examples

  1. Before slimming the bib file:

      ```
      @inproceedings{dong2020adversarial,
      author = {Yinpeng Dong and
      Zhijie Deng and
      Tianyu Pang and
      Jun Zhu and
      Hang Su},
      bibsource = {dblp computer science bibliography, https://dblp.org},
      biburl = {https://dblp.org/rec/conf/nips/DongDP0020.bib},
      booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December
      6-12, 2020, virtual},
      editor = {Hugo Larochelle and
      Marc'Aurelio Ranzato and
      Raia Hadsell and
      Maria{-}Florina Balcan and
      Hsuan{-}Tien Lin},
      timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
      title = {Adversarial Distributional Training for Robust Deep Learning},
      url = {https://proceedings.neurips.cc/paper/2020/hash/5de8a36008b04a6167761fa19b61aa6c-Abstract.html},
      year = {2020}
      }
      ```
     

  2. After slim:

     ```
     @inproceedings{dong2020adversarial,
     title = {Adversarial Distributional Training for Robust Deep Learning},
     author = {Yinpeng Dong and Zhijie Deng and Tianyu Pang and Jun Zhu and Hang Su},
     booktitle = {NeurIPS 2020},
     year = {2020}
     }
     ```
     

• Other recommend resources

  • Rebiber: A tool for normalizing bibtex with official info: https://github.com/yuchenlin/rebiber