乌尔伯特 (ULBERT):一个域调整的BERT模型,用于从巴基斯坦宪法中双语获取信息
Qaiser Abbas1, Waqas Nawaz2, Sadia Niazi3
1Department of Computer Science, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia.
Frontiers in big data
|October 8, 2025
概括
一个新的AI工具,ULBERT,增强了对巴基斯坦宪法的访问. 这一框架提高了所有用户在英语和乌尔都语中对法律文件的理解.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 信息检索 信息检索
背景情况:
- 像国家宪法这样的法律文本是复杂的,由于专门的术语和内部引用,难以导航.
- 对于巴基斯坦宪法,没有用户友好的自动搜索工具.
- 这使得法律专家和普通公民都无法获得基本的法律信息.
研究的目的:
- 推出ULBERT,一个新的AI驱动的信息检索框架.
- 为了使巴基斯坦的宪法更广泛的受众,包括法律专业人员和公众.
- 提供一个用户友好的工具,以英语和乌尔都语搜索宪法信息.
主要方法:
- 开发一个定制的人工智能模型,超越关键字匹配,了解查询语义.
- 在英语和乌尔都语中处理用户查询.
- 根据上下文和语义相似性确定相关的宪法段落.
主要成果:
- 在性能测试中,ULBERT框架表现出了很高的效率.
- 在检索正确的宪法信息时,英语查询的准确率为86%,乌尔都语查询的准确率为73%.
- 报告指出,在获取法律文件方面,有显著的改善.
结论:
- 在使用人工智能来提高基本法律文件的可访问性方面,ULBERT代表了重大突破.
- 该框架为法律调查提供了一个有效和直观的工具.
- 授权广大观众了解巴基斯坦宪法.
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