This paper presents a methodology for summarization from multiple documents which are about a specic topic. It is based on the specication and identication of the cross-document...
Stergos D. Afantenos, Irene Doura, Eleni Kapellou,...
This work explores the application of clustering methods for grouping structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
Different models have been proposed recently for representing temporal data, tracking historical information, and recovering the state of the document as of any given time, in XM...
Alberto O. Mendelzon, Flavio Rizzolo, Alejandro A....
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
In OCR systems the character segmentation algorithm may generate mis-segmented blocks. Feedback information from character classifier is indispensable to achieve higher character ...