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Classifying Biomedical Articles using Web Resources : application to KDD Cup 02

dc.contributor.authorCouto, Francisco M.por
dc.contributor.authorMartins, Brunopor
dc.contributor.authorSilva, Mário J.por
dc.contributor.authorCoutinho, Pedro M.por
dc.date.accessioned2009-02-10T13:12:00Zpor
dc.date.accessioned2014-11-14T16:23:52Z
dc.date.available2009-02-10T13:12:00Zpor
dc.date.available2014-11-14T16:23:52Z
dc.date.issued2003-07por
dc.description.abstractThis paper presents a novel approach for text classification on biomedical literature, involving the use of information extracted from related web resources. Our method creates a representation of an article based on information extracted from public online databases, that is afterwards used by traditional statistical text classification algorithms. We validated this approach by implementing the proposed method, and testing it on the KDD2002 Cup challenge: bio-text task. Results show that our approach of searching for additional data on online databases can effectively improve efficiency on text classification systems for biomedical literaturepor
dc.identifier.urihttp://hdl.handle.net/10451/14130por
dc.identifier.urihttp://repositorio.ul.pt/handle/10455/3027por
dc.language.isoporpor
dc.publisherDepartment of Informatics, University of Lisbonpor
dc.relation.ispartofseriesdi-fcul-tr-03-24por
dc.titleClassifying Biomedical Articles using Web Resources : application to KDD Cup 02por
dc.typereport
dspace.entity.typePublication
rcaap.rightsopenAccesspor
rcaap.typereportpor

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