An approach for automatically structuring Vietnamese legal text

Thinh D. Bui, Quoc B. Ho
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引用次数: 6

Abstract

Recognizing the structures of legal texts is significant to understand texts in this domain. In this paper, we describe a task of automatically structuring Vietnamese legal documents based on our study of this domain in several aspects: their linguistic features and patterns of recognition with trigger sets. The task focuses on the recognition of the logical structures of the documents stored in law database of Vietnam Ministry of Justice. A rule-based approach in association with some patterns is applied and is verified on a manually built corpus. Experimental result got 64.37% on assumption annotation, 64.15% on provision annotation and 75.76% on sanction annotation in the Fβ=1 score on the corpus of Vietnamese Enterprise Law articles.
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一种自动构建越南法律文本的方法
认识法律文本的结构对于理解这一领域的文本具有重要意义。在本文中,我们描述了一个基于该领域研究的自动结构化越南法律文件的任务:它们的语言特征和触发集识别模式。该任务的重点是对越南司法部法律数据库中存储的文件的逻辑结构进行识别。应用与一些模式相关联的基于规则的方法,并在手动构建的语料库上进行验证。实验结果表明,在越南企业法文章语料库的Fβ=1分数中,假设标注率为64.37%,条款标注率为64.15%,制裁标注率为75.76%。
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