让历史学家用自然语言直接查询文档关系数据
D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents
- 用大模型将中文问题转为数据库查询语句
- 支持通过图形界面探索文本中的实体关系
- 适合不懂编程的历史学者快速分析文献
D4R 是一个面向非技术用户（尤其是历史学者）的数字平台，旨在通过先进的图形化工具实现对文本文件的分析与知识提取。该平台利用大型语言模型，将自然语言提问自动转化为 Cypher 查询语句，从而从 Neo4J 数据库中检索信息。其友好的图形界面使用户能够直观地导航和分析从非结构化文本中提取的复杂关系数据。最初设计用于弥合人工智能技术与历史研究之间的鸿沟，D4R 的功能可扩展至多个其他领域。演示视频和实时软件演示可供访问。
原文摘要 · Abstract (English)
D4R is a digital platform designed to assist non-technical users, particularly historians, in exploring textual documents through advanced graphical tools for text analysis and knowledge extraction. By leveraging a large language model, D4R translates natural language questions into Cypher queries, enabling the retrieval of data from a Neo4J database. A user-friendly graphical interface allows for intuitive interaction, enabling users to navigate and analyse complex relational data extracted from unstructured textual documents. Originally designed to bridge the gap between AI technologies and historical research, D4R's capabilities extend to various other domains. A demonstration video and a live software demo are available.
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