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  • 标题:Information extraction for legal knowledge representation – a review of approaches and trends
  • 其他标题:Information extraction for legal knowledge representation – a review of approaches and trends
  • 本地全文:下载
  • 作者:Denis Andrei de Araujo ; Carolina Müller ; Rove Chishman
  • 期刊名称:Revista Brasileira de Computação Aplicada
  • 电子版ISSN:2176-6649
  • 出版年度:2014
  • 卷号:6
  • 期号:2
  • 页码:2-19
  • DOI:10.5335/rbca.2014.3542
  • 语种:English
  • 出版社:Universidade de Passo Fundo (UPF)
  • 摘要:This work presents an introduction to Information Extraction systems and a survey of the known approaches of Information Extraction in the legal area. This work analyzes with particular attention the techniques that rely on the representation of legal knowledge as a means to achieve better performance, with emphasis on those techniques including ontologies and linguistic support. Some details of the systems implementations are presented, followed by an analysis of the positive and negative points of each approach, aiming to bring the reader a critical position regarding the solutions studied.
  • 关键词:Computer Science; Artificial Inteligence;Ontologies; Information Extraction; Information Recovery.
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