Quaresma on Legal Information Extraction ← Machine Learning Algorithms + Linguistic Information

Professor Dr. Paulo Quaresma of Universidade de Évora Departamento de Informática has published Legal Information Extraction ← Machine Learning Algorithms + Linguistic Information, in LREC 2012 Conference Proceedings: Semantic Processing of Legal Texts (SPLeT-2012) Workshop, pp. 37-38.

Here is the 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.

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