Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/9440

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dc.contributor.authorLourenço, Anália-
dc.contributor.authorCosta, Hugo-
dc.contributor.authorCarneiro, S.-
dc.contributor.authorCarreira, Rafael-
dc.contributor.authorRocha, Miguel-
dc.contributor.authorFerreira, Eugénio C.-
dc.contributor.authorRocha, I.-
dc.date.accessioned2009-08-06T14:35:25Z-
dc.date.available2009-08-06T14:35:25Z-
dc.date.issued2009-06-27-
dc.identifier.citationANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY (ISMB), 17, Stockholm, 2009 [and] EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY (ISBMECCB), 8, Stockholm, 2009. [S.l. : s.n., 2009].por
dc.identifier.urihttps://hdl.handle.net/1822/9440-
dc.description.abstractBringing biologists and text miners closer together is a major aim towards the general usage of literature mining tools. Our contribution to this aim is an end-user tool for the extraction of problem-specific biologically relevant relations. Development efforts are being focused on easy-to-use text mining workflows including commonly available entity recognisers and syntactic processors, and the construction of a userfriendly environment that enables problemspecific tailoring by biologists.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)por
dc.description.sponsorshipSystems Biology as a Driver for Industrial Biotechnology (SYSINBIO)por
dc.language.isoengpor
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/212766/EU-
dc.rightsopenAccesspor
dc.titleCombining syntactic and ontological knowledge to extract biologically relevant relations from scientific paperspor
dc.typeconferencePaperpor
Aparece nas coleções:CEB - Artigos em Livros de Atas / Papers in Proceedings

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