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dc.contributor.advisorRigo, Sandro José
dc.contributor.authorAraujo, Denis Andrei de
dc.date.accessioned2015-05-29T14:51:35Z
dc.date.accessioned2022-09-22T19:12:44Z
dc.date.available2015-05-29T14:51:35Z
dc.date.available2022-09-22T19:12:44Z
dc.date.issued2013-08-30
dc.identifier.urihttps://hdl.handle.net/20.500.12032/58228
dc.description.abstractInformation extraction is an important part of a broader set of enabling tools to assist on identifying relevant information from natural language texts. Knowledge acquisition rules, based on linguistic treatment of specific aspects of textual documents, can provide an even broader set of possibilities. This work presents a model for addressing information extraction from texts based on ontology, which uses Natural Language Processing techniques and annotated corpus to identify relevant information. The main components of the proposal are described and presented a case study based on Brazilian legal documents. The results achieved on experiments indicate relevant accuracy and precision performance and good prospects regarding flexibility, expressiveness and generalization of the extraction rules.en
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectExtração da informaçãopt_BR
dc.subjectInformation extractionen
dc.titleSistema de aplicação unificada de regras linguísticas e ontologias para a extração de informaçõespt_BR
dc.typeDissertaçãopt_BR


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