2026-05-01T15:16:11Zhttp://www.clarin.si/repository/oai/request

oai:www.clarin.si:11356/17732023-03-27T17:01:19Zhdl_11356_1023hdl_11356_1024

PyTorch model for Slovenian Coreference Resolution Klemen, Matej Čebular, Martin Žitnik, Slavko Slovenian coreference resolution neural networks Slovenian model for coreference resolution: a neural network based on a customized transformer architecture, usable with the code published on https://github.com/matejklemen/slovene-coreference-resolution. The model is based on the Slovenian CroSloEngual BERT 1.1 model (http://hdl.handle.net/11356/1330). It was trained on the SUK 1.0 training corpus (http://hdl.handle.net/11356/1747), specifically the SentiCoref subcorpus. Using the evaluation setting where entity mentions are assumed to be correctly pre-detected, the model achieves the following metric values: MUC: precision = 0.931, recall = 0.957, F1 = 0.943 BCubed: precision = 0.887, recall = 0.947, F1 = 0.914 CEAFe: precision = 0.945, recall = 0.893, F1 = 0.916 CoNLL-12: precision = 0.921, recall = 0.932, F1 = 0.924 2023-02-17 toolService http://hdl.handle.net/11356/1773 slv https://doi.org/10.2298/CSIS201120060K Creative Commons - Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ PUB text/plain; charset=utf-8 application/zip downloadable_files_count: 1 Faculty of Computer and Information Science, University of Ljubljana https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies