Timberpile:wood:

Given three CSV files, Author List, Paper List, and Author Paper Relationship, this script generates paper lists in various styles.

Usage

• Prepare python.
• Edit CSV files under src.
• Run the following to generate output.md. In addition to md, there are options html and bibtex.

git clone https://github.com/matsui528/timberpile.git
cd timberpile
python main.py --output_type md --output output.md

• To generate and delete all at once, do the following.

make all # create all at once
make clean # delete all at once

Example of output

See the followings.

output.md

- John Smith, Taro Tanaka, Hanako Yamada, "Building Rome in Five Years", CVPR, 2021.
- Taro Tanaka, John Smith, "Weighted Least Squares are All You Need", ICLR, 2022.
- John Smith, Lebron James, Cixin Liu, "Tha Case for non-Learned Index Structures", ICCV, 2023.

output.html

<ul>
	<li><a href="http://www.example.com">スミスジョン</a>, 田中太郎, <a href="http://www.google.com">山田花子</a>, "Building Rome in Five Years", CVPR, 2021.</li>
	<li>田中太郎, <a href="http://www.example.com">スミスジョン</a>, "Weighted Least Squares are All You Need", ICLR, 2022.</li>
	<li><a href="http://www.example.com">スミスジョン</a>, <a href="https://twitter.com/KingJames">ジェームズレブロン</a>, <a href="https://en.wikipedia.org/wiki/Liu_Cixin">劉慈欣</a>, "Tha Case for non-Learned Index Structures", ICCV, 2023.</li>
</ul>

output.bib

@inproceedings{CVPR_2021_0,
	author={John Smith and Taro Tanaka and Hanako Yamada},
	title={Building Rome in Five Years},
	booktitle={Computer Vision and Pattern Recognition (CVPR)},
	year={2021}
}

@inproceedings{ICLR_2022_1,
	author={Taro Tanaka and John Smith},
	title={Weighted Least Squares are All You Need},
	booktitle={International Conference on Learning Representations (ICLR)},
	year={2022}
}

@inproceedings{ICCV_2023_2,
	author={John Smith and Lebron James and Cixin Liu},
	title={Tha Case for non-Learned Index Structures},
	booktitle={International Conference on Computer Vision (ICCV)},
	year={2023}
}

Notes

• CSV+python imitates RDBMS.
• Using paper_author.csv, we do something like a normalization in DB.
• Switching between Japanese and English can be freely programmed.
• Please edit files/sources according to your desired output format (applications, budget, etc).

---

木杭:wood:

著者一覧、論文一覧、著者論文関係、の３つのcsvファイルを準備し、そこから色々なスタイルで論文リストを生成するスクリプトです。

使い方

• pythonを準備します。
• src以下を編集します。
• 下記を実行するとoutput.mdが生成されます。mdの他にもhtmlおよびbibtexのオプションがあります。

git clone https://github.com/matsui528/timberpile.git
cd timberpile
python main.py --output_type md --output output.md

• 一括生成・削除するには以下のようにします。

make all    # 一括生成
make clean  # 一括削除

生成物の例

以下のようなものが出来ます。

output.md

- John Smith, Taro Tanaka, Hanako Yamada, "Building Rome in Five Years", CVPR, 2021.
- Taro Tanaka, John Smith, "Weighted Least Squares are All You Need", ICLR, 2022.
- John Smith, Lebron James, Cixin Liu, "Tha Case for non-Learned Index Structures", ICCV, 2023.

output.html

<ul>
	<li><a href="http://www.example.com">スミスジョン</a>, 田中太郎, <a href="http://www.google.com">山田花子</a>, "Building Rome in Five Years", CVPR, 2021.</li>
	<li>田中太郎, <a href="http://www.example.com">スミスジョン</a>, "Weighted Least Squares are All You Need", ICLR, 2022.</li>
	<li><a href="http://www.example.com">スミスジョン</a>, <a href="https://twitter.com/KingJames">ジェームズレブロン</a>, <a href="https://en.wikipedia.org/wiki/Liu_Cixin">劉慈欣</a>, "Tha Case for non-Learned Index Structures", ICCV, 2023.</li>
</ul>

output.bib

@inproceedings{CVPR_2021_0,
	author={John Smith and Taro Tanaka and Hanako Yamada},
	title={Building Rome in Five Years},
	booktitle={Computer Vision and Pattern Recognition (CVPR)},
	year={2021}
}

@inproceedings{ICLR_2022_1,
	author={Taro Tanaka and John Smith},
	title={Weighted Least Squares are All You Need},
	booktitle={International Conference on Learning Representations (ICLR)},
	year={2022}
}

@inproceedings{ICCV_2023_2,
	author={John Smith and Lebron James and Cixin Liu},
	title={Tha Case for non-Learned Index Structures},
	booktitle={International Conference on Computer Vision (ICCV)},
	year={2023}
}

ポイント

• RDBMSをCSV+pythonで真似しています。
• paper_author.csvを用いて、データベースでいう正規化を行っています。
• 日本語・英語の切り替えは自由にプログラミングできます。
• 希望する出力形式（公募や予算のフォーマット）にあわせて、自由に改造して使ってください。