Seeking an Assistant - acl-org/acl-anthology GitHub Wiki

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The Association for Computational Linguistics (ACL) is seeking a paid, part-time assistant to help with Anthology operations for about 5–8 hours a week. The assistant will work with the team of Anthology volunteers and report to the Anthology Director.

Example job duties

  • Helping ingest volumes into the Anthology in a timely fashion
  • Processing and verifying corrections to Anthology papers
  • Improving the documentation and internal processes related to ingestion
  • Helping the community improve the publication process, from style files design to conference management and ingestion
  • Disambiguating author names
  • Participating in Github discussions with the Anthology team
  • Helping with the review and approval of code changes on Github
  • Answering ingestion-related email sent to [email protected]
  • Assisting with planning and design for new Anthology features

Useful skills

  • An eye for detail. There are many editorial decisions that must be made, for which attention to detail is very helpful. It is a good sign if you are the kind of person who is bothered by typos or malformatted code.
  • Python. The code used to build the Anthology is written in Python. Ingestion scripts make use of this code as a library. You will get to help improve this code and the Anthology API.
  • Git. The Anthology is hosted on Github, which contains the official data used to build the Anthology’s static site.
  • XML. The Anthology data is encoded in a simple, intuitive XML format which is under constant revision

Applying

Send an email to the Anthology director, Matt Post ([email protected]), with a subject of "assistant application". Please include a CV and a paragraph or two describing your interest in and qualifications for the job. We expect job decisions to be made in early February, 2021.

About

The ACL Anthology (https://aclweb.org/anthology) is the library for proceedings of the Association for Computational Linguistics, the premier venue for advances in the fields of Natural Language Processing and Computational Linguistics. It is run with the help of professors, postdocs, and graduate students who have an interest in the free and open dissemination of the scientific progress and history of the field.