PyTorch model for Slovenian Coreference Resolution
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