Citation segmentation from sparse & noisy data: A joint inference approach with Markov logic networks.

This article presents an approach to citation segmentation that addresses special challenges as typically found in Digital Humanities applications. We perform citation segmentation from Optical Character Recognition (OCR) input obtained from volumes of a printed bibliography, the Turkology Annual. T...

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Publicado en:	Digital Scholarship in the Humanities Vol. 31; no. 2; pp. 333 - 357
Autores principales:	Heckmann, Dustin, Frank, Anette, Arnold, Matthias, Gietz, Peter, Roth, Christian
Formato:	Artículo
Publicado:	Oxford University Press / USA 6/1/2016
Materias:	Citation analysis Optical character recognition Digital humanities Bibliography Artificial intelligence
Acceso en línea:	Ver este registro en EBSCOhost