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Title: Legal information extraction ← machine learning algorithms + linguistic information
Authors: Quaresma, Paulo
Issue Date: May-2012
Publisher: LREC
Abstract: In order to automatically extract information from legal texts we propose the use of a mixed approach, using linguistic information and machine learning techniques. In the proposed architecture, lexical, syntactical, and semantical information is used as input for specialized machine learning algorithms, such as, support vector machines. This approach was applied to collections of legal documents and the preliminary results were quite promising.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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