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dc.contributor.authorDendek, Piotr Jan
dc.contributor.authorBolikowski, Łukasz
dc.contributor.authorŁukasik, Michał
dc.identifier.citationP. J. Dendek, Ł. Bolikowski, M. Łukasik. Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines. In:. Proceedings of the 10th IAPR International Workshop on Document Analysis Systems. 2012; p. 440-444.
dc.description.abstractAuthor name disambiguation allows to distinguish between two or more authors sharing the same name. In a previous paper, we have proposed a name disambiguation framework in which for each author name in each article we build a context consisting of classification codes, bibliographic references, co-authors, etc. Then, by pairwise comparison of contexts, we have been grouping contributions likely referring to the same people. In this paper we examine which elements of the context are most effective in author name disambiguation. We employ linear Support Vector Machines (SVM) to find the most influential features.en
dc.publisherIEEE Computer Society Conference Publishing Servicesen
dc.rightsDozwolony użytek
dc.subjectcomputer scienceen
dc.subjectinformation retrievalen
dc.subjectsupervised learningen
dc.subjectclassification algorithmsen
dc.subjectsupport vector machinesen
dc.subjectname disambiguationen
dc.titleEvaluation of Features for Author Name Disambiguation Using Linear Support Vector Machinesen
dc.contributor.organizationInterdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego, Uniwersytet Warszawskien
dc.description.epersonMichał Łopuszyński

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