论文标题
语义规范认可及其在葡萄牙法律上的应用
Semantic Norm Recognition and its application to Portuguese Law
论文作者
论文摘要
能够清楚地解释法律文本并充分理解我们的权利，义务和其他法律规范在数字社会中变得越来越重要。但是，仅仅使公民访问法律是不够的，因为有必要提供有意义的信息来满足其特定的疑问和需求。为此，有必要提取法律文本中存在的相关语义信息。因此，我们介绍了SNR（语义规范识别）系统，这是一种自动语义信息提取系统，该系统在葡萄牙消费者法中采取的域特异性（法律）文本语料库训练。 SNR系统使用葡萄牙Bert（Bertimbau），并接受了立法葡萄牙语料库的培训。我们演示了我们的系统如何在该领域特异性语料库上取得良好的结果（81.44 \％f1得分），尽管存在现有噪声，以及如何使用它来改善下游任务，例如信息检索。
Being able to clearly interpret legal texts and fully understanding our rights, obligations and other legal norms has become progressively more important in the digital society. However, simply giving citizens access to the laws is not enough, as there is a need to provide meaningful information that cater to their specific queries and needs. For this, it is necessary to extract the relevant semantic information present in legal texts. Thus, we introduce the SNR (Semantic Norm Recognition) system, an automatic semantic information extraction system trained on a domain-specific (legal) text corpus taken from Portuguese Consumer Law. The SNR system uses the Portuguese Bert (BERTimbau) and was trained on a legislative Portuguese corpus. We demonstrate how our system achieved good results (81.44\% F1-score) on this domain-specific corpus, despite existing noise, and how it can be used to improve downstream tasks such as information retrieval.
