arXiv:2507.04395cs.CLcs.AI2025-07EMNLP被引 8

用聊天界面让研究者快速从联合国档案中查宗教与精神相关数据

SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive

  • 基于RAG构建,整合7500份联合国文件实现上下文检索
  • 专家测试显示对100个复杂问题回答准确率高
  • 适合政策研究者和跨领域学者快速获取精神宗教信息

宗教与精神(R/S)是高度依赖领域的复杂概念,长期困扰研究者与政策制定者。由于其情境依赖性,传统档案检索策略难以有效处理大规模、低可访问性且含噪声的数据集。因此,从通用档案中提取与R/S相关的可行动洞察通常需大量时间投入和专业知识,增加对文献和人工审查的依赖。为此,我们提出SpiritRAG,一种基于检索增强生成(RAG)的交互式问答系统。该系统基于7,500份与健康和教育领域相关的联合国(UN)决议文件构建,允许研究者和政策制定者通过易于访问的基于聊天的Web界面,对超大规模数据集进行复杂、情境敏感的搜索。SpiritRAG部署轻量,可融合联合国文档及用户提供的文档作为源材料。通过对100个手动设计问题的专家试点测试与评估,验证了其实际价值与可用性。

原文摘要 · Abstract (English)

Religion and spirituality (R/S) are complex and highly domain-dependent concepts which have long confounded researchers and policymakers. Due to their context-specificity, R/S are difficult to operationalize in conventional archival search strategies, particularly when datasets are very large, poorly accessible, and marked by information noise. As a result, considerable time investments and specialist knowledge is often needed to extract actionable insights related to R/S from general archival sources, increasing reliance on published literature and manual desk reviews. To address this challenge, we present SpiritRAG, an interactive Question Answering (Q&A) system based on Retrieval-Augmented Generation (RAG). Built using 7,500 United Nations (UN) resolution documents related to R/S in the domains of health and education, SpiritRAG allows researchers and policymakers to conduct complex, context-sensitive database searches of very large datasets using an easily accessible, chat-based web interface. SpiritRAG is lightweight to deploy and leverages both UN documents and user provided documents as source material. A pilot test and evaluation with domain experts on 100 manually composed questions demonstrates the practical value and usefulness of SpiritRAG.

问答系统知识检索联合国数据精神宗教

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