31 citations · 44 across the 7 of their papers we have counts for
7 papers
What distinguishes conspiracy from critical narratives? A computational analysis of oppositional discourse
Damir Korenčić, Berta Chulvi, Xavier Bonet Casals +3
The current prevalence of conspiracy theories on the internet is a significant issue, tackled by many computational approaches. However, these approaches fail to recognize the rele…
End-to-End Page-Level Assessment of Handwritten Text Recognition
Enrique Vidal, Alejandro H. Toselli, Antonio Ríos-Vila +1
The evaluation of Handwritten Text Recognition (HTR) systems has traditionally used metrics based on the edit distance between HTR and ground truth (GT) transcripts, at both the ch…
Fake News and Hate Speech: Language in Common
Berta Chulvi, Alejandro Toselli, Paolo Rosso
In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup ind…
Open Set Classification of Untranscribed Handwritten Documents
José Ramón Prieto, Juan José Flores, Enrique Vidal +3
Huge amounts of digital page images of important manuscripts are preserved in archives worldwide. The amounts are so large that it is generally unfeasible for archivists to adequat…
Digital Editions as Distant Supervision for Layout Analysis of Printed Books
Alejandro H. Toselli, Si Wu, David A. Smith
Archivists, textual scholars, and historians often produce digital editions of historical documents. Using markup schemes such as those of the Text Encoding Initiative and EpiDoc,…
ICDAR 2021 Competition on Components Segmentation Task of Document Photos
Celso A. M. Lopes Junior, Ricardo B. das Neves Junior, Byron L. D. Bezerra +2
This paper describes the short-term competition on the Components Segmentation Task of Document Photos that was prepared in the context of the 16th International Conference on Docu…
A Probabilistic Framework for Lexicon-based Keyword Spotting in Handwritten Text Images
E. Vidal, A. H. Toselli, J. Puigcerver
Query by String Keyword Spotting (KWS) is here considered as a key technology for indexing large collections of handwritten text images to allow fast textual access to the contents…