Patient-oriented language processing
Invited Talk |
| Workshop Paper Due Date️: | January 30, 2025 | |
| Notification of acceptance: | March 1, 2025 | |
| Camera-ready papers due: | March 10, 2025 | |
| Pre-recorded video due (hard deadline): | April 8, 2025 | |
| Workshop: | May 3 OR 4, 2025 |
Submissions |
| Two types of submissions are invited: full papers and short papers. |
| Full papers should not exceed
eight (8) pages of text, plus unlimited references. These are
intended to be reports of original research. Short papers may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc. |
| Electronic Submission: Submissions must be electronic and in PDF format, using the Softconf START conference management system. Submissions must be anonymous. |
| The papers should follow ACL formatting. ACL provides style files for LaTeX and Microsoft Word at https://github.com/acl-org/acl-style-files. ACL pubcheck tool (https://github.com/acl-org/aclpubcheck) is available to check for common formatting problems. ACL official Overleaf template (https://www.overleaf.com/latex/templates/association-for-computational-linguistics-acl-conference/jvxskxpnznfj) has a [review] setting that must be on for the submission. Please do not forget to turn it off for the final submission. The optional limitations and ethical considerations sections, references, and appendices should be included in the pdf for the paper (not counting towards the page limit), and not be submitted as a separate PDF. |
The submission site is: https://softconf.com/naacl2025/cl4health2025
Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication.
CL4Health fills the gap among the different biomedical language processing workshops by providing a general venue for a broad spectrum of patient-oriented language processing research. The second workshop on patient-oriented language processing follows the successful inaugural CL4Health workshop (collocated with LREC-COLING 2024), which clearly demonstrated the need for a computational linguistics venue that focuses on language related to health of the public.
CL4Health is concerned with the resources, computational approaches, and behavioral and socio-economic aspects of the public interactions with digital resources in search of health-related information that satisfies their information needs and guides their actions. The workshop invites papers concerning all areas of language processing focused on patients' health and health-related issues concerning the public. The issues include, but are not limited to accessibility and trustworthiness of health information provided to the public; explainable and evidence-supported answers to consumer-health questions; accurate summarization of patients' health records at their health-literacy level; understanding patients' non-informational needs through their language, and accurate and accessible interpretations of biomedical research. The topics of interest for the workshop include but are not limited to the following:
Perspective-aware Healthcare Answer Summarization (PerAnsSumm) will be co-located with the workshop. See details at https://peranssumm.github.io/.
In community/consumer health question answering, several aspects, such as question understanding and answer generation, have been studied for over a decade. A new and important question posed by this task is the different perspectives provided in the answers to questions posted to online forums. The responses to the questions offer different answer perspectives, e.g., personal experiences, factual information, and suggestions. Traditionally, the CQA answer summarization task has focused on a single best-voted answer as a reference summary. A single answer does not capture all the perspectives. Providing the answers in structured, perspective-specific summaries could better serve the information needs of end users. To address these gaps, this challenge introduces a novel perspective-specific answer summarization task within a CQA setup. The task will use the Perspective-aware healthcare Answer SuMmarizAtion (PUMA) dataset, a corpus of medical question-answer pairs created by the task organizers. The PUMA dataset consists of 3,167 CQA threads with approximately 10K answers filtered from the Yahoo! L6 corpus. Each answer in PUMA is annotated with five perspective spans: ‘cause’, ‘suggestion’, ‘experience’, ‘question’, and ‘information’.
The workshop will be hybrid. Virtual attendees must be registered for the workshop to access the online environment.
Accepted papers will be presented as posters or oral presentations based on the reviewers’ recommendations.