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EPIA'03 - 11th Portuguese Conference on Artificial Intelligence

NLTR -- Natural Language and Text Retrieval

 Session: December 5, 10:45-12:15, Room B
Title: A preliminary approach to the multilabel classification problem of Portuguese juridical documents
Teresa Gonçalves and Paulo Quaresma
Abstract: Portuguese juridical documents from Supreme Courts and the Attorney General's Office are manually classified by juridical experts into a set of classes belonging to a taxonomy of concepts. In this paper a preliminary approach to develop techniques to automatically classify these juridical documents is proposed. As basic strategy, the integration of natural language processing techniques with machine learning ones is used. Support Vector Machines (SVM) are used as learning algorithm and the obtained results are presented and compared with other approaches, such as, C4.5, and naive Bayes.
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