20.500.12556/DKUM-98082 Named entity recognition and linking in PoeTree corpora Named entity recognition (NER) and named entity linking (NEL) remain underexplored in poetic texts. This study provides the first large-scale evaluation of contemporary NER and NEL systems on poetry across seven European languages – Czech, German, English, French, Italian, Russian, and Slovenian – using corpora from the PoeTree project. We benchmark three NER systems (flair, NameTag 2, spaCy) and three GPT models (GPT-3.5, GPT-4, GPT-4 Turbo) against manually annotated gold standards. While results fall short of in-domain benchmarks, they significantly outperform earlier findings. Manual correction further raises final annotation quality to estimated F1 scores between 0.77 and 0.93 across languages. We additionally evaluate two NEL systems – spaCy fishing and mGenre – showing that mGenre consistently outperforms spaCy fishing, achieving in-KB F1-scores of 0.70–0.81. By analysing geographic distances between predicted and gold-standard links, we demonstrate that a substantial portion of “incorrect” predictions are near-miss ambiguities rather than substantive errors. The resulting manually verified geolocation annotations have been integrated into PoeTree and made available through an interactive map interface. poetry named entities computational poetics natural language processing poezija imenske entitete računalniška poetika obdelava naravnega jezika procesiranje naravnega jezika true false true University of Tartu Press Angleški jezik Slovenski jezik Znanstveno delo 2026-05-14 03:10:04 2026-05-19 12:45:29 2026-05-20 03:16:18 0000-00-00 00:00:00 2025 0 Tartu 0 str. 7-18 št. 2 Letn. 12 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2025-12-31 82 277968387 10.12697/smp.2025.12.2.01 2346-691X RAZ_Plecháč_Petr_2025.pdf RAZ_Plecháč_Petr_2025.pdf 1 6BE729514C66DD67EBA6022F12997958 988dd4fdca2fb99629b31e0c166e5d535fd7229709da7122c07f28e0cb02ab48 ca516468-536f-11f1-a822-00155d580e34 https://dk.um.si/Dokument.php?lang=slv&id=206230 https://ojs.utlib.ee/index.php/smp/article/view/26645/20196 1 a4b67341-4f31-11f1-a431-00155d0001a1 https://dk.um.si/Dokument.php?lang=slv&id=206095 Filozofska fakulteta 0 0 0