Title: Approaches to text mining arguments from legal cases
Authors: Wyner, Adam
Mochales Palau, Raquel
Moens, Marie-Francine
Milward, David
Issue Date: 2010
Publisher: Springer
Host Document: Semantic processing of legal texts: where the language of law meets the law of language (Lecture notes in artificial intelligence 6036) pages:60-79
Abstract: This chapter describes recent approaches using text-mining to automatically profile and extract arguments from legal cases. We outline background context and motivations. We then turn to consider issues related to the construction and composition of a corpus of legal cases. We show how a context-free grammar can be used to extract arguments, and how ontologies and natural language processing can identify complex information such as case factors and participant roles. The results bring us closer to the automatic identification of arguments in text.
ISBN: 10-3-642-12836
Publication status: published
KU Leuven publication type: IHb
Appears in Collections:Informatics Section

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