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

TítuloCombining syntactic and ontological knowledge to extract biologically relevant relations from scientific papers
Autor(es)Lourenço, Anália
Costa, Hugo
Carneiro, S.
Carreira, Rafael
Rocha, Miguel
Ferreira, E. C.
Rocha, I.
Data27-Jun-2009
CitaçãoANNUAL 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].
Resumo(s)Bringing 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.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/9440
AcessoopenAccess
Aparece nas coleções:CEB - Artigos em Livros de Atas / Papers in Proceedings

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