@inproceedings{szucs-etal-2025-recognizing,
title = "Recognizing the Structure and Content of {H}ungarian Civil Registers",
author = "Sz{\'{u}}cs, Kata {\'A}gnes and
Vad{\'a}sz, No{\'e}mi and
Z{\'a}ros, Zsolt B{\'e}la",
editor = "Angelova, Galia and
Kunilovskaya, Maria and
Escribe, Marie and
Mitkov, Ruslan",
booktitle = "Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era",
month = sep,
year = "2025",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2025.ranlp-1.140/",
pages = "1215--1223",
abstract = "The study evaluates key steps in a system for processing data from digitized Hungarian state register records (1895-1980) into an SQL database. It examines how template selection and post-processing impact data accessibility and integration. The research details the compiled datasets, annotation processes, and evaluation functions used to measure processing quality, emphasizing template selection and post-processing to improve the overall workflow and the accuracy of the published data. An evaluation method for publishing structured data provides a model for similar projects."
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%0 Conference Proceedings
%T Recognizing the Structure and Content of Hungarian Civil Registers
%A Szúcs, Kata Ágnes
%A Vadász, Noémi
%A Záros, Zsolt Béla
%Y Angelova, Galia
%Y Kunilovskaya, Maria
%Y Escribe, Marie
%Y Mitkov, Ruslan
%S Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
%D 2025
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F szucs-etal-2025-recognizing
%X The study evaluates key steps in a system for processing data from digitized Hungarian state register records (1895-1980) into an SQL database. It examines how template selection and post-processing impact data accessibility and integration. The research details the compiled datasets, annotation processes, and evaluation functions used to measure processing quality, emphasizing template selection and post-processing to improve the overall workflow and the accuracy of the published data. An evaluation method for publishing structured data provides a model for similar projects.
%U https://aclanthology.org/2025.ranlp-1.140/
%P 1215-1223
Markdown (Informal)
[Recognizing the Structure and Content of Hungarian Civil Registers](https://aclanthology.org/2025.ranlp-1.140/) (Szűcs et al., RANLP 2025)
ACL
- Kata Ágnes Szűcs, Noémi Vadász, and Zsolt Béla Záros. 2025. Recognizing the Structure and Content of Hungarian Civil Registers. In Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era, pages 1215–1223, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.