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ACL Anthology - Detailed Instructions

These are the detailed instructions on generating the ACL Anthology website as seen on https://aclanthology.org/ and contributing to it.

Generating the Anthology

The Anthology website is generated using the Hugo static site generator. However, before we can actually invoke Hugo, we need to prepare the contents of the website. The following steps describe what happens behind the scenes. All the steps have a corresponding make target as well.

Step 0: Install required Python packages

To build the anthology, the packages listed in bin/requirements.txt are needed (they are installed and updated by make automatically).

  • Note: You can install all needed dependencies using the command pip install -r bin/requirements.txt
  • Note: Installing the PyYAML package with C bindings will speed up the generation process. On Debian-based systems, you have to do the following if libyaml-dev was not installed before running make the first time: sudo apt install libyaml-dev, enable virtualenv: source venv/bin/activate and rebuild pyyaml with libyaml backend: pip3 install pyyaml --upgrade --force. If this doesn't enable the C bindings, make sure you have Cython installed, then try rebuilding pyyaml again.

You also need to install "jing", an XML schema checker. if you are using Homebrew on OS X, you can install this with brew install jing-trang.

Step 1: Prepare the data for site generation

The data sources for the Anthology currently reside in the data/ directory. XML files contain the authoritative paper metadata, and additional YAML files document information about venues and special interest groups (SIGs). Before the Anthology website can be generated, all this information needs to be converted and preprocessed for the static site generator.

This is achieved by calling:

$ python3 bin/create_hugo_yaml.py

This process should not take longer than a few minutes and can be sped up considerably by installing PyYAML with C bindings.

Step 2: Create page stubs for site generation

The YAML files created in Step 1 are used by Hugo to pull in information about venues/papers/etc., but they cannot be used to define what actual pages the website should have. Therefore, another script takes the YAML files generated in Step 1 and produce stubs of pages for each individual paper, venue, etc.

This is achieved by calling:

$ python3 bin/create_hugo_pages.py

This script will produce a lot of files in the hugo/content/ subdirectory (most prominently, one for each paper in the Anthology).

Step 3: Create bibliography export files for papers

In this step, we create .bib files for each paper and proceedings volume in the Anthology. This is achieved by calling:

$ python3 bin/create_bibtex.py

The exported files will be written to the hugo/data-export/ subdirectory.

For other export formats, we rely on the bibutils suite by first converting the generated .bib files to MODS XML:

$ find hugo/data-export -name '*.bib' -exec bin/bib2xml_wrapper {} \; >/dev/null

This creates a corresponding .xml file in MODS format for every .bib file generated previously.

Step 4: Run Hugo

After all necessary files have been created, the website can be built by simply invoking Hugo from the build/ subdirectory. Optionally, the --minify flag can be used to create minified HTML output:

$ hugo --minify

Generating the website is quite a resource-hungry process, but should not take longer than a few minutes. Due to the high memory usage (approx. 18 GB according to the output of hugo --stepAnalysis), it is possible that it will cause swapping and consequently slow down your system for a while.

The fully generated website will be in build/anthology/ afterwards.

Making changes to the Anthology

The static site tries to follow a strict separation of content and presentation. If you need to make changes to the Anthology, the first step is to figure out where to make these changes.

Changes in content (paper metadata, information about SIGs, etc.) should always be made in the data files under data/ or in the scripts that interpret them; changes that only affect the presentation on the website can be made within the Hugo templates.

Content (Data Files)

The data sources of the Anthology are currently stored under data/. They comprise:

  • The authoritative XML files (in xml/); these contain all paper metadata. Their format is defined in an RelaxNG schema schema.rnc in the same directory.

  • YAML files for SIGs (in yaml/sigs/); these contain names, URLs, and associated venues for all special interest groups.

  • YAML files that define venues. These are currently:

    • venues.yaml: Maps venue acronyms to full names
    • venues_letters.yaml: Maps top-level letters to venue acronyms (e.g. P ⟶ ACL)
    • venues_joint_map.yaml: Maps proceedings volumes to additional venues (Note: volumes will always be associated with the venue corresponding to their first letter; this file defines additional ones in case of joint events etc.)

  • A name variant list (name_variants.yaml) that defines which author names should be treated as identical for purposes of generating "author" pages.

The "anthology" module under bin/anthology/ is responsible for parsing and interpreting all these data files. Some information that is not explicitly stored in any of these files is derived automatically by this module during Step 1 of building the website. (For example, if a publication year is not explicitly given in the XML, it is derived from the volume ID in Paper._infer_year().)

Presentation (Templates)

HTML templates for the website are found under hugo/layouts/.

CSS styling for the website is based on Bootstrap 4.3. The final CSS is compiled from hugo/assets/css/main.scss, which defines

  1. which Bootstrap components to include,
  2. which Bootstrap variables to customize (e.g. colors), and
  3. additional style definitions on top of that.

Adding new years to the Anthology

If a new year is added to the Anthology, make sure the front page template is updated to include this new year. Make sure to adjust the variable $all_years (and $border_years, if needed) and don't forget to update the table headers as well! (Their colspan attributes need to match the number of years subsumed under the header.)

Testing & coding style

The following criteria are checked automatically (via Travis CI) and enforced for all changes pushed to the Anthology:

  1. YAML files need to be syntactically well-formed, and XML files need to follow the schema definition in schema.rnc.
  2. Files should end in exactly one newline, and lines should not have trailing whitespace.
  3. Python files should have a maximum line length of 90 and follow the formatting guidelines defined by the black tool.

There are three make targets that help you check (and fix) your commits:

  • make check will check all files in the repository.
  • make check_commit will only check files currently staged for commit. This is best used as a pre-commit hook in order to help you identify problems early.
  • make autofix works like check_commit, except that it will also run the black code formatter to automatically make your Python files style-compliant. This can also be used as a pre-commit hook, or run manually when you find that make check_commit complains about your files.

To easily make any of these targets work as a pre-commit hook, you can create a symlink to one of the predefined scripts as follows:

  • ln -s ../../.git-hooks/check_commit .git/hooks/pre-commit (for check target)
  • ln -s ../../.git-hooks/autofix .git/hooks/pre-commit (for autofix target)