Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/7960
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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. |
URI: | http://hdl.handle.net/10174/7960 |
Type: | article |
Appears in Collections: | INF - Artigos em Livros de Actas/Proceedings
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