Ulysses Tesemõ: a new large corpus for Brazilian legal and governmental domain

IF 1.7 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Language Resources and Evaluation Pub Date : 2024-07-18 DOI:10.1007/s10579-024-09762-8

Felipe A. Siqueira, Douglas Vitório, Ellen Souza, José A. P. Santos, Hidelberg O. Albuquerque, Márcio S. Dias, Nádia F. F. Silva, André C. P. L. F. de Carvalho, Adriano L. I. Oliveira, Carmelo Bastos-Filho

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引用次数: 0

Abstract

The increasing use of artificial intelligence methods in the legal field has sparked interest in applying Natural Language Processing techniques to handle legal tasks and reduce the workload of these professionals. However, the availability of legal corpora in Portuguese, especially for the Brazilian legal domain, is limited. Existing resources offer some legal data but lack comprehensive coverage. To address this gap, we present Ulysses Tesemõ, a large corpus specifically built for the Brazilian legal domain. The corpus consists of over 3.5 million files, totaling 30.7 GiB of raw text, collected from 159 sources encompassing judicial, legislative, academic, news, and other related data. The data was collected by scraping public information from governmental websites, emphasizing contents generated over the past two decades. We categorized the obtained files into 30 distinct categories, covering various branches of the Brazilian government and different types of texts. The corpus retains the original content with minimal data transformations, addressing the scarcity of Portuguese legal corpora and providing researchers with a valuable resource for advancing in the research area.

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Ulysses Tesemõ：巴西法律和政府领域的新大型语料库

人工智能方法在法律领域的应用日益广泛，这引发了人们对应用自然语言处理技术来处理法律任务并减轻这些专业人员工作量的兴趣。然而，葡萄牙语法律语料库的可用性非常有限，尤其是在巴西法律领域。现有资源提供了一些法律数据，但覆盖面不够全面。为了填补这一空白，我们推出了 Ulysses Tesemõ，这是一个专门为巴西法律领域建立的大型语料库。该语料库包含 350 多万个文件，总计 30.7 GB 的原始文本，收集自 159 个来源，包括司法、立法、学术、新闻和其他相关数据。这些数据是通过从政府网站上抓取公共信息收集的，重点是过去二十年中产生的内容。我们将获得的文件分为 30 个不同的类别，涵盖巴西政府的各个部门和不同类型的文本。该语料库保留了原始内容，只进行了极少的数据转换，解决了葡萄牙语法律语料库稀缺的问题，为研究人员在该研究领域取得进展提供了宝贵的资源。

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来源期刊

Language Resources and Evaluation 工程技术-计算机：跨学科应用

CiteScore

6.50

自引率

3.70%

发文量

审稿时长

>12 weeks

期刊介绍： Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.