Evaluation of Features for Author Name Disambiguation Using Linear Support Vector Machines
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Date
2012-03-27Author
Dendek, Piotr Jan
Bolikowski, Łukasz
Łukasik, Michał
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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.
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