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

Detalhes bibliográficos
Autor(a) principal: Couto, Francisco M.
Data de Publicação: 2003
Outros Autores: Martins, Bruno, Silva, Mário J., Coutinho, Pedro M.
Tipo de documento: Relatório
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/14130
Resumo: This 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 literature
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spelling Classifying Biomedical Articles using Web Resources : application to KDD Cup 02This 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 literatureDepartment of Informatics, University of LisbonRepositório da Universidade de LisboaCouto, Francisco M.Martins, BrunoSilva, Mário J.Coutinho, Pedro M.2009-02-10T13:12:00Z2003-072003-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportapplication/pdfhttp://hdl.handle.net/10451/14130porinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T15:59:45Zoai:repositorio.ul.pt:10451/14130Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:35:58.793388Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
title Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
spellingShingle Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
Couto, Francisco M.
title_short Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
title_full Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
title_fullStr Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
title_full_unstemmed Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
title_sort Classifying Biomedical Articles using Web Resources : application to KDD Cup 02
author Couto, Francisco M.
author_facet Couto, Francisco M.
Martins, Bruno
Silva, Mário J.
Coutinho, Pedro M.
author_role author
author2 Martins, Bruno
Silva, Mário J.
Coutinho, Pedro M.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Couto, Francisco M.
Martins, Bruno
Silva, Mário J.
Coutinho, Pedro M.
description This 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 literature
publishDate 2003
dc.date.none.fl_str_mv 2003-07
2003-07-01T00:00:00Z
2009-02-10T13:12:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/report
format report
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/14130
url http://hdl.handle.net/10451/14130
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Department of Informatics, University of Lisbon
publisher.none.fl_str_mv Department of Informatics, University of Lisbon
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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