37.884, Confs: Granular Recognition of Argumentative Clinical Evidence (Spain)

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LINGUIST List: Vol-37-884. Wed Mar 04 2026. ISSN: 1069 - 4875.

Subject: 37.884, Confs: Granular Recognition of Argumentative Clinical Evidence (Spain)

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Date: 02-Mar-2026
From: Aitziber Atutxa [aitziber.atucha at ehu.eus]
Subject: Granular Recognition of Argumentative Clinical Evidence


Granular Recognition of Argumentative Clinical Evidence
Short Title: GRACE at IberLEF2026
Theme: Clinical Argumentation in Spanish

Date: 22-Sep-2026 - 22-Sep-2026
Location: Leon, Spain
Meeting URL: https://www.codabench.org/competitions/13280/

Linguistic Field(s): Applied Linguistics; Clinical Linguistics;
Computational Linguistics
Subject Language(s): Spanish (spa)

Submission Deadline: 03-May-2026

GRACE at IberLEF2026 announces the first edition of a novel task on
Argument Mining shared task in Spanish connecting Explainable AI and
Evidence-Based Medicine across clinical trials and medical licensing
examinations.
Argument Mining:
Argument Mining automatically extracts claims and evidence from
clinical text and reveals how they support or challenge each other,
enabling transparent, traceable clinical reasoning.
Spanish, First:
GRACE is the first Argument Mining task in Spanish for the clinical
domain, filling a key gap in multilingual biomedical NLP with
fine-grained, entity-level annotations.
Track 01:
Clinical Trial Evidence & Argumentation
This track focuses on abstracts of Randomized Controlled Trials
(RCTs). Their standardized design, contrasting an intervention with a
control group, provides a transparent path from data to conclusions,
making argumentative components more accessible to automated systems.
Goal: Identify argumentative components (claims and premises) and
detect support/attack relations at the sentence level.
Track 02:
Clinical Case Reasoning (MIR)
This track uses cases from the MIR (Médico Interno Residente) exam,
Spain's national medical specialization test. Each instance pairs a
dense clinical narrative with five competing diagnostic or treatment
options, only one of which is correct.
Goal: Extract fine-grained evidence spans that justify the correct
option while refuting the incorrect alternatives.
Important Dates_
Release of Training & Dev Sets - March 18
Official Test Set Release - April 22
Deadline for Result Submission - May 3
Publication of Results - May 8
System Paper Submission - May 24
Notification of Acceptance - June 17
IberLEF Workshop (at SEPLN) - September 22



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