@inproceedings{Cardon-Moreno-Martinez:CORIA-TALN-2026:2026,
    author = "Cardon, R\'emi and Moreno, Lourdes and Mart{\'\i}nez, Paloma",
    title = "Adaptation Datasheets for Plain Language in Health: A Pragmatics-Centered Traceability Schema",
    booktitle = "Actes de CORIA-TALN 2026. Actes de l'atelier TAL@Sant\'e",
    month = "6",
    year = "2026",
    address = "Nantes, France",
    publisher = "Association pour le Traitement Automatique des Langues",
    pages = "1-5",
    note = "L{\textquoteright}adaptation en langage simple (LS) de textes m\'edicaux implique des d\'ecisions pragmatiques (relevant des notions de pertinence, ordre, mise en relief, exploitabilit\'e) qui affectent la compr\'ehension et la s\'ecurit\'e",
    abstract = "Plain Language (PL) adaptation of healthcare texts involves pragmatic decisions (linked to relevance, ordering, prominence, actionability) that affect comprehension and safety. Traceability is often limited to before-and-after text and global readability metrics, making these decisions hard to audit. We propose a lightweight schema that records pragmatic decisions as structured, span-linked fields, intended as an annotation layer for existing PL corpora and as a documentation artifact for LLM-assisted workflows. We illustrate the schema on a Spanish post-consultation clinical note adapted for patients/caregivers, report descriptive statistics, and position it with respect to existing operation-based annotation frameworks.",
    keywords = "simplification, pragmatics, traceability, healthcare NLP",
    url = "12.pdf"
}