37.1439, FYI: GRACE at IberLEF2026: Clinical Argument Mining Shared Task in Spanish Connecting Explainable AI and Evidence-Based Medicine

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Tue Apr 14 14:05:01 UTC 2026


LINGUIST List: Vol-37-1439. Tue Apr 14 2026. ISSN: 1069 - 4875.

Subject: 37.1439, FYI: GRACE at IberLEF2026: Clinical Argument Mining Shared Task in Spanish Connecting Explainable AI and Evidence-Based Medicine

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Date: 14-Apr-2026
From: aitziber atutxa [aitziber.atucha at ehu.eus]
Subject: GRACE at IberLEF2026: Clinical Argument Mining Shared Task in Spanish Connecting Explainable AI and Evidence-Based Medicine


Registration open!!
GRACE at IberLEF2026: https://www.codabench.org/competitions/13280/
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

Linguistic Field(s): Clinical Linguistics
                     Computational Linguistics

Subject Language(s): Spanish (spa)




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