Large Language Models for Summarizing Czech Historical Documents and Beyond

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Large Language Models for Summarizing Czech Historical Documents and Beyond

Popis výsledku v původním jazyce

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been significantly explored in English and other high-resource languages, Czech text summarization, particularly for historical documents, remains underexplored due to linguistic complexities and a scarcity of annotated datasets.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.

Název v anglickém jazyce

Large Language Models for Summarizing Czech Historical Documents and Beyond

Popis výsledku anglicky

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been significantly explored in English and other high-resource languages, Czech text summarization, particularly for historical documents, remains underexplored due to linguistic complexities and a scarcity of annotated datasets.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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EH23_021%2F0008436" target="_blank" >EH23_021/0008436: VaV technologií pro pokročilou digitalizaci v plzeňské metropolitní oblasti (DigiTech)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

Počet stran výsledku

7

Strana od-do

798-804

Název nakladatele

ScitePress

Místo vydání

Setúbal

Místo konání akce

Porto

Datum konání akce

23. 2. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—