rebiber 1.0.1

A tool for normalizing bibtex with official info.

Rebiber: A tool for normalizing bibtex with official info.

We often cite papers using their arXiv versions without noting that they are already PUBLISHED in some conferences. These unofficial bib entries might violate rules about submissions or camera-ready versions for some conferences. We introduce Rebiber, a simple tool in Python to fix them automatically. It is based on the official conference information from the DBLP or the ACL anthology (for NLP confernces)! You can check the list of suported conferences here.

Installation

pip install rebiber -U

OR

git clone https://github.com/yuchenlin/rebiber.git
cd rebiber/
pip install -e .

If you would like to use the latest github version with more bug fixes, please use the second installation method.

Usage

Normalize your bibtex file with the official converence information:

rebiber -i /path/to/input.bib -o /path/to/output.bib

You can find a pair of example input and output files in rebiber/example_input.bib and rebiber/example_output.bib. You can also specify your own bib list files by -l /path/to/bib_list.txt. If you don't specify any -o then it will be the same as the -i.

Example Input and Output

An example input entry with the arXiv information (from Google Scholar or somewhere):

@article{lin2020birds,
	title={Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models},
	author={Lin, Bill Yuchen and Lee, Seyeon and Khanna, Rahul and Ren, Xiang},
	journal={arXiv preprint arXiv:2005.00683},
	year={2020}
}

An example normalized output entry with the official information:

@inproceedings{lin2020birds,
    title = "{B}irds have four legs?! {N}umer{S}ense: {P}robing {N}umerical {C}ommonsense {K}nowledge of {P}re-{T}rained {L}anguage {M}odels",
    author = "Lin, Bill Yuchen  and
      Lee, Seyeon  and
      Khanna, Rahul  and
      Ren, Xiang",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.emnlp-main.557",
    doi = "10.18653/v1/2020.emnlp-main.557",
    pages = "6862--6868",
}

Supported Conferences

The bib_list.txt contains a list of converted json files of the official bib data. In this repo, we now support the full ACL anthology, i.e., all papers that are published at *CL conferences (ACL, EMNLP, NAACL, etc.) as well as workshops. Also, we support any conference proceedings that can be downloaded from DBLP, for example, ICLR2020.

The following conferences are supported and their bib/json files are in our data folder. You can turn each item on/off in bib_list.txt. Please feel free to create PR for adding new conferences following this!

Name	Years
ACL Anthology	(until 2021-01)
AAAI	2010 -- 2020
AISTATS	2013 -- 2020
ALENEX	2010 -- 2020
ASONAM	2010 -- 2019
BigDataConf	2013 -- 2019
BMVC	2010 -- 2020
CHI	2010 -- 2020
CIDR	2009 -- 2020
CIKM	2010 -- 2020
COLT	2000 -- 2020
CVPR	2000 -- 2020
ICASSP	2015 -- 2020
ICCV	2003 -- 2019
ICLR	2013 -- 2020
ICML	2000 -- 2020
IJCAI	2011 -- 2020
KDD	2010 -- 2020
MLSys	2019 -- 2020
NeurIPS	2000 -- 2020
RECSYS	2010 -- 2020
SDM	2010 -- 2020
SIGIR	2010 -- 2020
SIGMOD	2010 -- 2020
SODA	2010 -- 2020
STOC	2010 -- 2020
UAI	2010 -- 2020
WSDM	2008 -- 2020
WWW (The Web Conf)	2001 -- 2020

Thanks for Anton Tsitsulin's great work on collecting such a complete set bib files!

Adding a new conference

You can manually add any conferences from DBLP by downloading its bib file to our data folder, then convert the conference bib file to the json format, and finally add its path to the bib_list.txt.

Take ICLR2020 as an example:

• Step 1: Go to https://dblp.org/db/conf/iclr/iclr2020.html
• Step 2: Download the bib file, and put it here as data/iclr2020.bib
• Step 3: Convert it to the json format.

python bib2json.py -i data/iclr2020.bib -o data/iclr2020.json

• Step 4: Add its path to bib_list.txt.

Contact

Please email [e-mail] or create Github issues here if you have any questions or suggestions.