stjiris/portuguese-legal-sentences-v0

该数据集名为Portuguese Legal Sentences，收集了葡萄牙最高法院的法律句子，目的是用于MLM（掩码语言建模）和TSDAE（基于Transformer的顺序去噪自编码器）。该数据集是项目IRIS的一部分，与葡萄牙最高法院的语义搜索系统相关，旨在通过训练特定的BERT模型（如Legal-BERTimbau变体）来改进信息检索系统，特别是在法律领域的应用。

原始信息汇总

数据集概述

基本信息

• 名称: Portuguese Legal Sentences
• 语言: 葡萄牙语 (pt)
• 许可证: Apache-2.0
• 多语言性: 单语种
• 数据来源: 原始数据

内容描述

• 目的: 用于MLM（掩码语言模型）和TSDAE（时间序列去噪自编码器）
• 内容: 葡萄牙最高法院司法判决的集合

贡献者

• 主要贡献者: @rufimelo99

引用信息

bibtex @InProceedings{MeloSemantic, author="Melo, Rui and Santos, Pedro A. and Dias, Jo{~a}o", editor="Moniz, Nuno and Vale, Zita and Cascalho, Jos{e} and Silva, Catarina and Sebasti{~a}o, Raquel", title="A Semantic Search System for the Supremo Tribunal de Justi{c{c}}a", booktitle="Progress in Artificial Intelligence", year="2023", publisher="Springer Nature Switzerland", address="Cham", pages="142--154", abstract="Many information retrieval systems use lexical approaches to retrieve information. Such approaches have multiple limitations, and these constraints are exacerbated when tied to specific domains, such as the legal one. Large language models, such as BERT, deeply understand a language and may overcome the limitations of older methodologies, such as BM25. This work investigated and developed a prototype of a Semantic Search System to assist the Supremo Tribunal de Justi{c{c}}a (Portuguese Supreme Court of Justice) in its decision-making process. We built a Semantic Search System that uses specially trained BERT models (Legal-BERTimbau variants) and a Hybrid Search System that incorporates both lexical and semantic techniques by combining the capabilities of BM25 and the potential of Legal-BERTimbau. In this context, we obtained a {$}{$}335{ackslash}{%}{$}{$}335{%}increase on the discovery metric when compared to BM25 for the first query result. This work also provides information on the most relevant techniques for training a Large Language Model adapted to Portuguese jurisprudence and introduces a new technique of Metadata Knowledge Distillation.", isbn="978-3-031-49011-8" }