Skip to main content

ACL pubcheck

ACL pubcheck is a Python tool that automatically detects font errors, author formatting errors, margin violations, outdated citations as well as many other common formatting errors in papers that are using the LaTeX sty file associated with ACL venues. The script can be used to check your papers before you submit to a conference. (We highly recommend running ACL pubcheck on your papers pre-submission—a well formatted paper helps keep the reviewers focused on the scientific content.) However, its main purpose is to ensure your accepted paper is properly formatted, i.e., it follows the venue's style guidelines. The script is used by the publication chairs at most ACL events to check for formatting issues. Indeed, running this script yourself and fixing errors before uploading the camera-ready version of your paper will often save you a personalized email from the publication chairs.

You can install the package by cloning the repo

  1. git clone git@github.com:acl-org/aclpubcheck.git or git clone https://github.com/acl-org/aclpubcheck.git
  2. cd aclpubcheck
  3. pip install -e .

You can run the script on a paper as follows python3 aclpubcheck/formatchecker.py --paper_type PAPER_TYPE PAPER_NAME.pdf where PAPER_TYPE is taken from the set {long,short,other}. You should choose either long or short depending on the type of paper you have accepted.

If you find that ACL pubcheck gives you a margin error due to a figure that runs into the margin, you can often fix the problem by applying the adjustbox package. Additionally, if the margin error is caused by an equation, then it may help to break the equation over two lines.

Note: Additional info can be found in the PDF document aclpubcheck_additional_info.pdf included in this package.

Online Version: If you are having trouble with installing and using the Python toolkit directly, you can use a CodaLab version online https://colab.research.google.com/drive/1Sq6ilmrFUQpUFMkV71U8-Wf0madW-Uer?usp=sharing.

Updating the names in citations

Description

Our toolkit now automatically checks your citations and will leave a warning if you have used incorrect names or author list. Please have a look here on why it is important to use updated citations.

Demo version of PDF name checking is available here.

How it's done

The bibilography from your PDF file is extracted using Scholarcy API. Each bib entry in this bib file is updated by pulling information from ACL anthology, DBLP and arXiv; by using fuzzy match of the titles. After updating the bibs, the author names are compared and mismatches in author names are warned.

Procedure

Functionality

The functions are present in aclpubcheck/name_check.py. The class PDFNameCheck is used in formatchecker.py.

Caveats

Some of the warnings generated for citations may be spurious and inaccurate, due to parsing and indexing errors. We encourage you to double check the citations and update them depending on the latest source. If you believe that your citation is updated and correct, then please ignore those warnings. You can fix your bib files using the toolkit like rebiber.

Screenshots

This is how the warnings appear for the outdated names. You would be directed to a URL where you can correct the citations. We are not showing the name changes as it might out the deadnames in the warnings.

Screenshot

Development

  • Install conda/miniconda/mamba
  • Install Python Poetry
  • Run conda create -n acl python=3.9
  • Run poetry install

Publishing

  • Run poetry build then poetry publish

Credits

The original version of ACL pubcheck was written by Yichao Zhou, Iz Beltagy, Steven Bethard, Ryan Cotterell and Tanmoy Chakraborty in their role as publications chairs of NAACL 2021. The tool was improved by Ryan Cotterell and Danilo Croce in their role as publication chairs of ACL 2022 and NAACL 2022. Pranav A added the name checking functions to this toolkit.

Metadata

Release files for aclpubcheck 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for aclpubcheck 0.2.0
File Size Uploaded
aclpubcheck-0.2.0.tar.gz 18.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for aclpubcheck 0.2.0
File Interpreter ABI Platform
aclpubcheck-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 35.9 kB

Release files / aclpubcheck-0.2.0.tar.gz

Download URL aclpubcheck-0.2.0.tar.gz
Size 18.0 kB
Tags Source
SHA-256 checksum
How to use checksums
725d11790000a7a98dae1a58e8b742b67cf7b8685a6d6ba52babdf66a9c9b86d
BLAKE2b-256 checksum
How to use checksums
4ad7c11e898ad5c4497779fdae3256fc3311de97599954bdaa707ff0a88727bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.13

Release files / aclpubcheck-0.2.0-py3-none-any.whl

Download URL aclpubcheck-0.2.0-py3-none-any.whl
Size 17.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7df6a0879a26121668b5cf68fd1fb2caedb27b0c405024a724eea39481311578
BLAKE2b-256 checksum
How to use checksums
f6ed29611eb17ce370f42ece9057e42c702d1629720a0bdf90a6523b5f8d1595
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.13

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page