Checking the Statutes in Chinese Judgment Document Based on Editing Distance Algorithm

Yufan Yang, Yi Feng, Jidong Ge, Yemao Zhou, Jin Zeng, Chuanyi Li, B. Luo
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Abstract

With the continuous advancement of the informatization of the Chinese People's Court, the court's view on the extraction and application of information has not only been on the structured data, but also for the semi-structured and unstructured data. In the process of in-depth study of the judgment document, many cases require the collection of the document result as an important data dimension, and the key is that the statute is the core of the whole result, so the integrity and correctness of the statute obtained has played a key role for the process of the judgment document processing. However, in the process of writing a specific judgment document, the same statute has different string forms due to the diversity of writing, which leads directly to the error data source. Comparing the editing distance between the strings can judge the similarity of them to a certain extent. Therefore, an automatic method based on the editing distance algorithm is devised, which constructs the disparity model between different statutes strings, to obtain the standardized writing of the same type data. Using this method can remove the non-standard writing of statutes, and ultimately access to the standard statutes collection. This method has a higher efficiency than the method of enumerating all the writing circumstances, which needs the manual participation, additional data storage and update.
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基于编辑距离算法的中文裁判文书成文法检验
随着中国人民法院信息化进程的不断推进,法院对信息的提取和应用的看法已经不仅仅局限于结构化数据,还包括半结构化和非结构化数据。在对裁判文书进行深入研究的过程中,很多案件都需要将文书结果的收集作为重要的数据维度,而关键是规约是整个结果的核心,因此所获得的规约的完整性和正确性对裁判文书处理的过程起到了关键作用。然而,在具体判决书的书写过程中,由于书写方式的多样性,同一法规的字符串形式不同,这就直接导致了错误数据源的产生。比较字符串之间的编辑距离可以在一定程度上判断它们的相似度。为此,设计了一种基于编辑距离算法的自动编写方法,构建不同法规字符串之间的差异模型,实现同类型数据的规范化编写。使用这种方法可以消除法规的非标准写作,并最终获得标准法规的收集。这种方法比列举所有写入情况的方法效率更高,后者需要人工参与,需要额外的数据存储和更新。
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