1st Call for Papers & Participation
ClinicalNLP 2027 Workshop & Shared Tasks
At NAACL 2027
June 2026
https://clinical-nlp.github.io/2027/
Sponsored by SIGClinical
Submit by: Wed 24 Feb 2027
Clinical text is growing rapidly as electronic health records (EHRs) become pervasive. Much of the information recorded in a clinical encounter is located exclusively in provider narrative notes, which makes them indispensable for supplementing structured clinical data to better understand patient state and care provided. The methods and tools developed for the clinical domain have historically lagged behind the scientific advances in the general-domain NLP. Despite the substantial recent strides in clinical NLP, a substantial gap remains. The goal of this workshop is to address this gap by establishing a regular event in CL conferences that brings together researchers interested in developing state-of-the-art methods for the clinical domain. The focus is on improving NLP technology to enable clinical applications, and specifically, information extraction and modeling of narrative provider notes from electronic health records, patient encounter transcripts, and other clinical narratives.
Relevant topics for the workshop include, but are not limited to:
- Modeling clinical text in NLP tasks (tagging, chunking, parsing, entity identification, entity linking, relation extraction, coreference, summarization, speech recognition, etc.)
- De-identification and other handling of protected health information
- Disease detection and other coding of clinical documents (e.g., ICD)
- Structure of clinical documents (e.g., section identification)
- Information extraction from clinical text (e.g., medication order extraction)
- Integration of structured and textual data for clinical tasks
- Domain adaptation and transfer learning techniques for clinical data
- Generation of clinical notes: summarization, image-to-text, conversations-to-notes, etc.
- Multimodal analysis (e.g., radiology reports and images, clinician-patient audio and transcripts, sensor wave forms and descriptions)
- Annotation schemes and annotation methodology for clinical data
- Evaluation techniques for the clinical domain
- Bias and fairness in clinical text (including health disparities research)
In 2027, Clinical NLP will encourage submissions from the following special track:
- Clinical NLP in low-resource settings (e.g., languages other than English)
The 7th Clinical NLP Workshop will be co-located with NAACL 2027 in San Francisco, California, United States.
# Shared Tasks
Clinical NLP 2027 is hosting two shared tasks:
- MEDIQA-RADEVAL: Evaluating Metrics for Radiology Report Assessment (https://sites.google.com/view/mediqa2027/mediqa-radeval):
This new shared task focuses on developing reliable methods for evaluating radiology report quality. Participants will use a new benchmark of expert-annotated report comparisons capturing clinically meaningful differences across imaging modalities and anatomical regions. The dataset includes fine-grained annotations of relevant quality dimensions and error types for benchmarking automated evaluation metrics. By comparing metrics against expert assessments, the task aims to advance robust, clinically grounded evaluation of radiology report generation systems.
- MEDIQA-MULTIREFEVAL: Evaluating Metrics for Multimodal Question Answering (https://sites.google.com/view/mediqa2027/mediqa-eval):
The second edition of MEDIQA-EVAL focuses on evaluating open-ended responses in dermatology visual question answering, where generated answers can assist clinicians by providing draft responses to patient questions accompanied by clinical images. Participants will develop metrics for assessing answers against expert judgments. The task will feature a larger multilingual English and Chinese dataset, with four additional gold-reference answers per language and expert ratings for generated and reference answers. These annotations will support evaluation when multiple clinically valid responses exist. Building on the first edition, the task aims to advance clinically grounded metrics capturing factual accuracy, completeness, and overall response quality across languages and dermatology cases.
Please visit the shared task websites to register to participate and for additional information about the shared tasks.
# Submissions
Clinical NLP 2027 has no preprint restrictions; you may post to arXiv at any time.
Clinical NLP 2027 workshop proceedings are archival and will be published on the ACL Anthology.
More details will be available soon.
# Workshop Awards
Clinical NLP 2027 will recognize outstanding research contributions and shared task achievements through six awards, each carrying a cash prize of USD $1,000.
## Paper Awards
- Best Workshop Paper: Outstanding overall contribution.
- Best Student Paper: Exceptional student-led research.
- Best Shared Task Paper: Innovative and insightful shared task research.
## Shared Task Awards
- MEDIQA-RADEVAL: Best-performing team.
- MEDIQA-MULTIREFEVAL (English): Best-performing team.
- MEDIQA-MULTIREFEVAL (Chinese): Best-performing team.
All winners will be announced during the workshop.
# Important Dates
All deadlines are 11:59PM UTC-12:00 AoE.
- Wed 24 Feb 2027 Paper submission deadline (main and shared task papers)
- Fri 26 Mar 2027 Review deadline
- Thu 01 Apr 2027 Notification of acceptance
- Fri 16 Apr 2027 Camera-ready paper deadline
- Fri 14 May 2027 Pre-recorded video deadline
- Jun 2027 Workshop
# Workshop Organizers
* Asma Ben Abacha (Microsoft)
* Steven Bethard (University of Arizona)
* Danielle Bitterman (AstraZeneca)
* Tristan Naumann (Microsoft)
* Kirk Roberts (UTHealth Houston)
For inquiries, please contact: clinical-nlp-workshop-organizers [at] googlegroups.com.
# Special Interest Group
The Clinical NLP Workshop is sponsored by the new ACL Special Interest Group on Clinically Related Language, SIGClinical.
Anyone interested in joining SIGClinical can do so by following the instructions here: