A preliminary approach to the multilabel classification problem of Portuguese juridical documents
| dc.contributor.author | Gonçalves, Teresa | |
| dc.contributor.author | Quaresma, Paulo | |
| dc.date.accessioned | 2011-02-15T11:25:43Z | |
| dc.date.available | 2011-02-15T11:25:43Z | |
| dc.date.issued | 2003 | |
| dc.description.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 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.extent | 491128 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.accesstype | livre | en |
| dc.identifier.authoremail | tcg@uevora.pt | |
| dc.identifier.authoremail | pq@uevora.pt | |
| dc.identifier.editorperson | Moura-Pires, F. | |
| dc.identifier.editorperson | Abreu, S. | |
| dc.identifier.numrev | 2902 | en |
| dc.identifier.pagina | 435-444 | en |
| dc.identifier.principalpublicationtitle | EPIA-03, 11th Portuguese Conference on Artificial Intelligence | en |
| dc.identifier.revista | Lecture Notes in Artificial Intelligence | en |
| dc.identifier.scientificarea | 498 | en |
| dc.identifier.uri | http://hdl.handle.net/10174/2559 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | en |
| dc.publisher | Springer-Verlag | en |
| dc.rights | openAccess | en |
| dc.subject | machine learning | en |
| dc.subject | Text classification | en |
| dc.title | A preliminary approach to the multilabel classification problem of Portuguese juridical documents | en |
| dc.type | article | en |