A preliminary approach to the multilabel classification problem of Portuguese juridical documents

dc.contributor.authorGonçalves, Teresa
dc.contributor.authorQuaresma, Paulo
dc.date.accessioned2011-02-15T11:25:43Z
dc.date.available2011-02-15T11:25:43Z
dc.date.issued2003
dc.description.abstractPortuguese 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 automat- ically 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 learn- ing algorithm and the obtained results are presented and compared with other approaches, such as C4.5 and Naive Bayes.en
dc.format.extent491128 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.accesstypelivreen
dc.identifier.authoremailtcg@uevora.pt
dc.identifier.authoremailpq@uevora.pt
dc.identifier.editorpersonMoura-Pires, F.
dc.identifier.editorpersonAbreu, S.
dc.identifier.numrev2902en
dc.identifier.pagina435-444en
dc.identifier.principalpublicationtitleEPIA-03, 11th Portuguese Conference on Artificial Intelligenceen
dc.identifier.revistaLecture Notes in Artificial Intelligenceen
dc.identifier.scientificarea498en
dc.identifier.urihttp://hdl.handle.net/10174/2559
dc.language.isoeng
dc.peerreviewedyesen
dc.publisherSpringer-Verlagen
dc.rightsopenAccessen
dc.subjectmachine learningen
dc.subjectText classificationen
dc.titleA preliminary approach to the multilabel classification problem of Portuguese juridical documentsen
dc.typearticleen

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