20.500.12556/RUL-171514 Semi-supervised relation extraction corpus construction and models creation for under-resourced languages a use case for Slovene The goal of relation extraction is to recognize head and tail entities in a document and determine a relation between them. While a lot of progress was made in solving automated relation extraction in widely used languages such as English, the use of these methods for under-resourced languages and domains is limited due to the lack of training data. In this work, we present a pipeline using distant supervision for constructing a relation extraction corpus in an arbitrary language. The corpus construction combines Wikipedia documents in the target language with relations in the WikiData knowledge graph. We demonstrate the process by constructing a new corpus for relation extraction in the Slovene language. Our corpus captures 20 unique relation types. The final corpus contains 811,032 relations annotated in 244,437 sentences. We use the corpus to train models using three architectures and evaluate them on the task of Slovene relation extraction. We achieve comparable performance to approaches on English data. relation extraction semi-supervised learning Slovene language ekstrakcija relacij pol-nadzorovano učenje slovenski jezik true false true Angleški jezik Slovenski jezik Članek v reviji 2025-08-27 14:39:00 2025-08-27 14:39:01 2025-09-05 03:47:35 0000-00-00 00:00:00 2025 0 0 Str. 1-17 iss. 2, art. 143 Vol. 16 Feb. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.65:81'322 2078-2489 10.3390/info16020143 226450691 RAZ_Knez_Timotej_2025.pdf RAZ_Knez_Timotej_2025.pdf 1 44ECF8BD6BA995E830FE04A4BDD35E6C e7ccb19e47af0270e31dfa16cf99b9b89a937ae4509b36599327dd21f8dee726 f6f99db5-8342-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214869 https://www.mdpi.com/2078-2489/16/2/143 1 af065b44-8342-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214868 Fakulteta za računalništvo in informatiko 0 0 0