GRACE@IberLEF2026: Clinical Argument Mining shared task in Spanish connecting Explainable AI and Evidence-Based Medicine

Registration open!!

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    GRACE@IberLEF2026: https://www.codabench.org/competitions/13280/
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GRACE@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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