HistoLens：基于LLM的历史文本多层分析框架——以《盐铁论》为例
HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun
AI总结：
本文提出基于LLM的历史文本多层分析框架HistoLens，以《盐铁论》为例，集成NLP技术进行多维可视分析，并构建机器教学场景，为历史研究与教育提供新工具。
摘要：
本文提出了HistoLens，一个基于大型语言模型（LLMs）的历史文本多层分析框架。以西汉重要典籍《盐铁论》为案例，我们展示了该框架在历史研究与教育中的应用潜力。HistoLens集成了NLP技术（尤其是LLMs），包括命名实体识别、知识图谱构建和地理信息可视化。本文展示了HistoLens如何通过多维度、可视化和定量的方法探索《盐铁论》中的西汉文化，特别聚焦于儒家和法家思想对政治、经济、军事和民族的影响。我们还演示了HistoLens如何利用LLMs构建机器教学场景进行可解释分析，该分析基于在LLMs辅助下提取的儒家与法家思想数据集。该方法为研究《盐铁论》等历史文本提供了新颖多样的视角，并为历史教育提供了新的辅助工具。该框架旨在为历史学家和学习者配备LLMs辅助工具，以促进对历史文本的深入、多层分析，并推动历史教育的创新。
英文摘要：
This paper proposes HistoLens, a multi-layered analysis framework for historical texts based on Large Language Models (LLMs). Using the important Western Han dynasty text "Yantie Lun" as a case study, we demonstrate the framework's potential applications in historical research and education. HistoLens integrates NLP technology (especially LLMs), including named entity recognition, knowledge graph construction, and geographic information visualization. The paper showcases how HistoLens explores Western Han culture in "Yantie Lun" through multi-dimensional, visual, and quantitative methods, focusing particularly on the influence of Confucian and Legalist thoughts on political, economic, military, and ethnic. We also demonstrate how HistoLens constructs a machine teaching scenario using LLMs for explainable analysis, based on a dataset of Confucian and Legalist ideas extracted with LLM assistance. This approach offers novel and diverse perspectives for studying historical texts like "Yantie Lun" and provides new auxiliary tools for history education. The framework aims to equip historians and learners with LLM-assisted tools to facilitate in-depth, multi-layered analysis of historical texts and foster innovation in historical education.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
