Daniel Stökl Ben Ezra

Orcid: 0000-0001-5668-493X

According to our database1, Daniel Stökl Ben Ezra authored at least 11 papers between 2015 and 2023.

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Bibliography

2023
Enhancing HTR of Historical Texts through Scholarly Editions: A Case Study from an Ancient Collation of the Hebrew Bible.
Proceedings of the Computational Humanities Research Conference 2023, 2023

2022
Tikkoun Sofrim: Making Ancient Manuscripts Digitally Accessible: The Case of Midrash Tanhuma.
ACM Journal on Computing and Cultural Heritage, 2022

2021
BiblIA - a General Model for Medieval Hebrew Manuscripts and an Open Annotated Dataset.
Proceedings of the HIP@ICDAR 2021: The 6th International Workshop on Historical Document Imaging and Processing, 2021

Exploiting Insertion Symbols for Marginal Additions in the Recognition Process to Establish Reading Order.
Proceedings of the Document Analysis and Recognition, 2021

2020
Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Transcription Alignment for Highly Fragmentary Historical Manuscripts: The Dead Sea Scrolls.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019
Tikkoun Sofrim: A WebApp for Personalization and Adaptation of Crowdsourcing Transcriptions.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

eScriptorium: An Open Source Platform for Historical Document Analysis.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts.
Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

2017
Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements.
Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017

2015
Viral transcript alignment.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015


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