A relevance feedback approach for the author name disambiguation problem

Thiago A. Godoi, Ricardo da S. Torres, Ariadne M.B.R. Carvalho, Marcos A. Gonçalves, Anderson A. Ferreira, Weiguo Fan, Edward A. Fox
2013 Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries - JCDL '13  
This paper presents a new name disambiguation method that exploits user feedback on ambiguous references across iterations. An unsupervised step is used to define pure training samples, and a hybrid supervised step is employed to learn a classification model for assigning references to authors. Our classification scheme combines the Optimum-Path Forest (OPF) classifier with complex reference similarity functions generated by a Genetic Programming framework. Experiments demonstrate that the
more » ... sed method yields better results than state-of-the-art disambiguation methods on two traditional datasets.
doi:10.1145/2467696.2467709 dblp:conf/jcdl/GodoiTCGFFF13 fatcat:piohdinb6vaa7pniclj6fs56ny