The UNLP workshop focuses on advances in Ukrainian natural language processing. The aim of the workshop is to bring together leading professionals from academia and industry who develop language resources, tools, and NLP solutions for the Ukrainian language or do cross-lingual research that can be applied to the Ukrainian language.

The Fourth UNLP will be held online in conjunction with the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).

The workshop invites submissions presenting computational approaches, applications, models, and resources for the Ukrainian language or cross-lingual research applicable to the Ukrainian language. See Call for Papers and Shared Task for more information.

Link for paper submission: https://softconf.com/acl2025/unlp2025

The workshop will provide Grammarly Premium to all authors. To request Grammarly Premium, please submit this form.

Participation in UNLP 2025 will be free of charge for people based in Ukraine. We express our gratitude to the ACL 2025 General Chair, who kindly agreed to provide this opportunity for the Ukrainian research community! UNLP will take place online, which means there won’t be a physical room in Vienna at ACL 2025. However, we are still planning some get-togethers to enable in-person communication. Please select one of the registration options that applies to you:

• If you are based in Ukraine, please register using this form to request free admission to the UNLP 2025 workshop.
• If you are based outside of Ukraine and want to attend the workshop online, register through this link.
• To attend UNLP 2025 in Berlin, please submit this form in addition to your registration.

Code of Ethics

UNLP honors the ethical code set out in the ACL Code of Ethics. We kindly ask the authors to consider the ethical impact of their research, use of data, and potential applications of their work. Where a paper may raise ethical issues, we ask that the authors include in the paper an explicit discussion of these issues. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns with their work.