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New LLM-Symbolic Framework Analyzes Disaster Policy Discourse

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了Apaf，一个新颖的混合LLM-符号框架，用于分析政策文件，特别是在灾害治理领域。该系统通过将论点分为审议性或管理性框架，并识别框架中介关系，来操作化关键话语分析。创建了一个包含来自美国、英国、加拿大和澳大利亚的100份灾害风险减少政策子文件的新的数据集，以证明该框架的准确性、可解释性和跨司法管辖区的稳定性。 AI

影响 该框架可以增强政策文件的可解释性和定量分析能力，有助于灾害治理。

排序理由 该集群描述了一篇详细介绍新框架和数据集的研究论文。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

New LLM-Symbolic Framework Analyzes Disaster Policy Discourse

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该集群描述了一篇详细介绍新框架和数据集的研究论文。
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报道来源 [2]

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

    具身智能的崛起：OpenAI、Anthropic、Google Gemini 和 Meta Llama 的新时代

    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 ·

    具有论证意识的政策分析：用于灾害治理的混合大模型-符号框架

    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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