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...

Full description

Bibliographic Details

Published in:	Digital Scholarship in the Humanities Vol. 31; no. 2; pp. 333 - 357
Main Authors:	Heckmann, Dustin, Frank, Anette, Arnold, Matthias, Gietz, Peter, Roth, Christian
Format:	Article
Published:	Oxford University Press / USA 6/1/2016
Subjects:	Citation analysis Optical character recognition Digital humanities Bibliography Artificial intelligence
Online Access:	View this record in EBSCOhost