Slovak Coreference Resolution with Pretrained Encoders

This paper investigates coreference resolution in Slovak using pretrained encoder-based language models and a hybrid approach combining linguistic rules with neural classification. We introduce SlovakCoref, a modular system evaluated on 370 annotated Slovak paragraphs containing 6,492 mentions. The proposed approach achieves a CoNLL-style F1 score of 0.808 under a custom evaluation protocol, establishing an experimental baseline for further research into Slovak natural language understanding.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23685166
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Slovak Coreference Resolution with Pretrained Encoders

Peter Kostelnik, Tomáš Hanečák
Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

Slovak Coreference Resolution with Pretrained Encoders

Peter Kostelnik, Tomáš Hanečák
article en

Abstract

This paper investigates coreference resolution in Slovak using pretrained encoder-based language models and a hybrid approach combining linguistic rules with neural classification. We introduce SlovakCoref, a modular system evaluated on 370 annotated Slovak paragraphs containing 6,492 mentions. The proposed approach achieves a CoNLL-style F1 score of 0.808 under a custom evaluation protocol, establishing an experimental baseline for further research into Slovak natural language understanding.

Zenodo (CERN European Organization for Nuclear Research)
Technolution (Netherlands) (NL)
Openalex Percentile: Top 13%
Natural Language Processing Techniques
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