Please follow the paper submission guidelines (long papers) of the ClinicalNLP workshop and ACL formatting guidelines, including:
Submissions should be anonymous and must not include any identifying information about the authors.
Papers may have up to eight (8) pages of content.
You are allowed unlimited pages for references. Any “Limitations” section or “Ethics Statement” is similar to references; it does not count toward the page limit.
Additional instructions related to the shared task papers:
Each participating team can submit one paper describing their approaches and systems for one or more subtasks. The paper should be titled:
TEAM at MEDIQA-OE 2025: Sub-Title
TEAM at MEDIQA-WV 2025: Sub-Title
Submissions must include clear scientific writing, a short overview of the related work, a full description of the developed models and their originality/specificity, description of additional data/models that were used, and a discussion of the results. It is important to describe the details well enough that the system could be replicated. You can report additional experiments and results in your papers, but please make it clear that they were obtained before/after the competition.
MEDIQA will follow a double-blind review process, papers must not include authors' names and affiliations. Reporting your team's name, rank, and results is allowed and will not be considered as disclosure of identity.
Each team/paper should nominate one author to review other shared task papers. The first author will be added by default.
OpenReview submission system: https://openreview.net/group?id=clinical-nlp.github.io/Clinical_NLP/2025/Workshop ** The first author must have a profile created at least two weeks before the paper submission deadline.
We would expect that most papers will be included in the proceedings.
Teams with accepted papers will be invited to present their work at the ClinicalNLP workshop.
Code: Publishing your code is encouraged but not required for your paper acceptance. If you are planning to make your GitHub repo public before the publication of your paper, you can cite your shared task paper as follows: Title. Authors. Submitted to ClinicalNLP 2025.
Citations: Please cite the following papers when referring to the shared tasks and datasets:
Please cite the MEDIQA-OE 2025 overview paper when describing the task and official results:
@inproceedings{MEDIQA-OE-Task,
author = {Jean{-}Philippe Corbeil and Asma {Ben Abacha} and Jérôme Tremblay and Phillip Swazinna and Akila Jeeson Daniel and Miguel Del{-}Agua and François Beaulieu},
title = {Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Conversations},
booktitle = {Proceedings of the 7th Clinical Natural Language Processing Workshop},
publisher = {Association for Computational Linguistics},
year = {2025}}
Please cite the SIMORD dataset paper when describing the task dataset:
@article{MEDIQA-OE-2025-SIMORD-Dataset,
author = {Jean{-}Philippe Corbeil and Asma {Ben Abacha} and George Michalopoulos and Phillip Swazinna and Miguel Del{-}Agua and Jérôme Tremblay and Akila Jeeson Daniel and Cari Bader and Yu{-}Cheng Cho and Pooja Krishnan and Nathan Bodenstab and Thomas Lin and Wenxuan Teng and Francois Beaulieu and Paul Vozila},
title = {Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications},
journal = {CoRR},
eprinttype = {arXiv},
year = {2025}}
Please cite the MEDIQA-WV 2025 overview paper when describing the task and official results:
@inproceedings{MEDIQA-WV-Task,
author = {Wen{-}wai Yim and Asma {Ben Abacha} and Meliha Yetisgen and Fei Xia},
title = {Overview of the MEDIQA-WV 2025 Shared Task on Wound Care Visual Question Answering},
booktitle = {Proceedings of the 7th Clinical Natural Language Processing Workshop},
publisher = {Association for Computational Linguistics},
year = {2025}}
Please cite the WoundcareVQA dataset paper when describing the task dataset:
@article{MEDIQA-WV-2025-WoundcareVQA-Dataset,
author = {Wen{-}wai Yim and Asma {Ben Abacha} and Robert Doerning and Chia{-}Yu Chen and Jiaying Xu and Anita Subbarao and Zixuan Yu and Fei Xia and M Kennedy Hall and Meliha Yetisgen},
title = {WoundcareVQA: A Multilingual Visual Question Answering Benchmark Dataset for Wound Care},
journal = {Journal of Biomedical Informatics},
year = {2025}}