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New LLM-Symbolic Framework Analyzes Disaster Policy Discourse

By PulseAugur Editorial · [2 sources] ·

Researchers have developed Apaf, a novel hybrid LLM-symbolic framework designed to analyze policy documents, particularly in disaster governance. This system operationalizes critical discourse analysis by classifying arguments into deliberative or managerial frames and identifying frame-mediated relations. A new dataset of 100 disaster-risk-reduction policy sub-documents from the USA, UK, Canada, and Australia was created to demonstrate the framework's accuracy, interpretability, and cross-jurisdictional stability. AI

IMPACT This framework could enhance the interpretability and quantitative analysis of policy documents, aiding in disaster governance.

RANK_REASON The cluster describes a new research paper detailing a novel framework and dataset.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New LLM-Symbolic Framework Analyzes Disaster Policy Discourse

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Stylianos Loukas Vasileiou, Olga Derendiaeva ·

    Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governance

    arXiv:2607.13260v1 Announce Type: cross Abstract: Policy documents shape governance outcomes, but their reasoning is often implicit. Participatory commitments and managerial control routinely coexist in the same text, and the tensions between them are rarely stated directly. Exis…

  2. arXiv cs.CL TIER_1 English(EN) · Olga Derendiaeva ·

    Discourse-Aware Policy Analysis with Argumentation: A Hybrid LLM-Symbolic Framework for Disaster Governance

    Policy documents shape governance outcomes, but their reasoning is often implicit. Participatory commitments and managerial control routinely coexist in the same text, and the tensions between them are rarely stated directly. Existing computational approaches to policy discourse …

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