20.500.12556/RUL-189467 Low-resource historical named entity recognition in the era of large language models Prepoznavanje zgodovinskih imenskih entitet v jezikih z omejenimi viri v dobi velikih jezikovnih modelov We present a comparative evaluation of encoder-based and generative approaches for named entity recognition (NER) on historical Slovene parliamentary records. Using a manually annotated subset of the Carniolan Provincial Assembly Corpus Kranjska 1.0, we evaluate a range of locally deployable open-weight models within a unified multishot prompting framework. Our experiments compare traditional supervised encoderbased systems with modern instruction-tuned generative models across both strict and fuzzy evaluation settings. The results show that larger generative models achieve the best overall performance and demonstrate strong multilingual transfer capabilities, while smaller encoder-based systems remain highly competitive in terms of efficiency, inference speed, and person recognition accuracy. However, all models struggle with the extraction of more ambiguous entity types in historical texts, such as locations and organizations. digital humanities historical documents named entity recognition large language models digitalna humanistika zgodovinski dokumenti prepoznavanje imenskih entitet veliki jezikovni modeli true false true Angleški jezik Slovenski jezik Drugo 2026-10-07 11:48:28 2026-10-07 11:48:29 2026-10-10 03:34:27 0000-00-00 00:00:00 2026 0 0 Str. 443-462 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:81'33:930.2 293950979 292667395 RAZ_Smajdek_Uros_2026.pdf RAZ_Smajdek_Uros_2026.pdf 1 46B4EC783E463A317AF33BD26BE634C6 355552853c08e587e49be6ddcc2ece983752ff0044945487ae45b3e956d99d6e c069aed1-c234-11f1-8bc5-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=250046 https://zenodo.org/records/22941022 1 1f424cef-c234-11f1-8bc5-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=250043 Fakulteta za računalništvo in informatiko 0 0 0