35.3226, Calls: Second Workshop on Patient-Oriented Language Processing @ NAACL 2025

Fri Nov 15 03:05:02 UTC 2024

LINGUIST List: Vol-35-3226. Fri Nov 15 2024. ISSN: 1069 - 4875.

Subject: 35.3226, Calls: Second Workshop on Patient-Oriented Language Processing @ NAACL 2025

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Date: 12-Nov-2024
From: Paul Thompson [paul.thompson at manchester.ac.uk]
Subject: Second Workshop on Patient-Oriented Language Processing @ NAACL 2025

Full Title: Second Workshop on Patient-Oriented Language Processing @
NAACL 2025
Short Title: CL4Health

Date: 03-May-2025 - 04-May-2025
Location: Albuquerque, New Mexico, USA
Contact Person: Paul Thompson
Meeting Email: paul.thompson at manchester.ac.uk
Web Site: https://bionlp.nlm.nih.gov/cl4health2025/

Linguistic Field(s): Computational Linguistics

Call Deadline: 30-Jan-2025

Meeting Description:

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 (co-located with LREC-COLING 2024), which
clearly demonstrated the need for a computational linguistics venue
that focuses on language related to health of the public.

Call for Papers:

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:

- Health-related information needs and online behaviors of the public;
- Quality assurance and ethics considerations in language technologies
and approaches applied to text and other modalities for public
consumption;
- Summarization of data from electronic health records for patients;
- Detection of misinformation in consumer health-related resources and
mitigation of potential harms;
- Consumer health question answering (Community Question
Answering)(CQA);
- Biomedical text simplification/adaptation;
- Dialogue systems to support patients' interactions with clinicians,
healthcare systems, and online resources;
- Linguistic resources, data and tools for language technologies
focusing on consumer health;
- Infrastructures and pre-trained language models for consumer health

SHARED TASK

Perspective-aware Healthcare Answer Summarization (PerAnsSumm) will be
co-located with the workshop. 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. Moreover, a structured presentation of the
information in the form of perspective-specific summaries may be more
useful for the 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’.

IMPORTANT DATES
(Tentative)

January 30, 2025 -Workshop Paper Due Date️:
March 1, 2025 - Notification of acceptance:
March 10, 2025 - Camera-ready papers due:
April 8, 2025 - Pre-recorded video due (hard deadline):
May 3 OR 4, 2025 - Workshop

ORGANIZERS

- Dina Demner-Fushman, US National Library of Medicine
- Sophia Ananiadou, National Centre for Text Mining and University of
Manchester, UK
- Paul Thompson, National Centre for Text Mining and University of
Manchester, UK
- Deepak Gupta, US National Library of Medicine

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