Legal and Regulation Retrieval System Based on Hierarchical Retrieval

Yue Chen, Yu Guo, Yuanyan Xie, Zhenqiang Mi
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Abstract

With the advent of big data, the number of web pages and information are increasing exponentially. Much of the information we retrieve is mixed and redundant, which affects the effectiveness of retrieval. Therefore, information retrieval has become an indispensable technology. Compared with ordinary retrieval, the retrieval of laws and regulations needs higher relevance and accuracy. Aiming at the poor retrieval effect and unreasonable results in terms of legal retrieval, this paper proposes a legal and regulation retrieval system, our work is establishing a high-quality database, removing the stop word, and increasing hierarchical retrieval. Experimental results show that the proposed method in terms of legal retrieval is more effective than general legal search systems and wide-area search systems. In the end, we complete the design and visual display of the whole retrieval system to ensure the accuracy of retrieval results and the conciseness of retrieval contents.
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基于分层检索的法律法规检索系统
随着大数据的出现,网页和信息的数量呈指数级增长。我们检索到的许多信息是混合的和冗余的,这影响了检索的有效性。因此,信息检索已成为一项不可或缺的技术。与普通检索相比,法律法规检索需要更高的相关性和准确性。针对法律检索中检索效果差,检索结果不合理的问题,本文提出了一种法律法规检索系统,我们的工作是建立高质量的数据库,去除停止词,增加检索层次。实验结果表明,该方法在法律检索方面比一般法律检索系统和广域检索系统更有效。最后,我们完成了整个检索系统的设计和可视化显示,保证了检索结果的准确性和检索内容的简洁性。
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