Large Language Models for Summarizing Czech Historical Documents and Beyond
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43975482" target="_blank" >RIV/49777513:23520/25:43975482 - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=OEDQqomvMwc=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=OEDQqomvMwc=&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0013374100003890" target="_blank" >10.5220/0013374100003890</a>
Alternative languages
Result language
angličtina
Original language name
Large Language Models for Summarizing Czech Historical Documents and Beyond
Original language description
Text summarization is the task of shortening a larger body of text into a concise version while retaining its essential meaning and key information. While summarization has been significantly explored in English and other high-resource languages, Czech text summarization, particularly for historical documents, remains underexplored due to linguistic complexities and a scarcity of annotated datasets. Large language models such as Mistral and mT5 have demonstrated excellent results on many natural language processing tasks and languages. Therefore, we employ these models for Czech summarization, resulting in two key contributions: (1) achieving new state-of-the-art results on the modern Czech summarization dataset SumeCzech using these advanced models, and (2) introducing a novel dataset called Posel od Čerchova for summarization of historical Czech documents with baseline results. Together, these contributions provide a great potential for advancing Czech text summarization and open new avenues for research in Czech historical text processing.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EH23_021%2F0008436" target="_blank" >EH23_021/0008436: RandD of technologies for advanced digitization in the Pilsen metropolitan area (DigiTech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
ISBN
978-989-758-737-5
ISSN
2184-433X
e-ISSN
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Number of pages
7
Pages from-to
798-804
Publisher name
ScitePress
Place of publication
Setúbal
Event location
Porto
Event date
Feb 23, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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