Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines
dc.contributor.author | Dendek, Piotr Jan | |
dc.contributor.author | Bolikowski, Łukasz | |
dc.contributor.author | Łukasik, Michał | |
dc.date.accessioned | 2013-06-26T09:58:45Z | |
dc.date.available | 2013-06-26T09:58:45Z | |
dc.date.issued | 2012-03-27 | |
dc.identifier.citation | P. 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.identifier.other | 10.1109/DAS.2012.36 | |
dc.identifier.uri | http://depot.ceon.pl/handle/123456789/1973 | |
dc.description.abstract | Author 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.language.iso | en | en |
dc.publisher | IEEE Computer Society Conference Publishing Services | en |
dc.rights | Dozwolony użytek | |
dc.subject | computer science | en |
dc.subject | information retrieval | en |
dc.subject | linearity | en |
dc.subject | bibliographies | en |
dc.subject | context | en |
dc.subject | supervised learning | en |
dc.subject | classification algorithms | en |
dc.subject | support vector machines | en |
dc.subject | name disambiguation | en |
dc.title | Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.contributor.organization | Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego, Uniwersytet Warszawski | en |
dc.description.eperson | Michał Łopuszyński |
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