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EMNLP Findings2022

SlovakBERT: Slovak Masked Language Model

Matús Pikuliak, Stefan Grivalsky, Martin Konopka, Miroslav Blsták, Martin Tamajka, Viktor Bachratý, Marián Simko, Pavol Balázik, Michal Trnka, Filip Uhlárik

Abstract

We introduce a new Slovak masked language model called SlovakBERT. This is to our best knowledge the first paper discussing Slovak transformers-based language models. We evaluate our model on several NLP tasks and achieve state-of-the-art results. This evaluation is likewise the first attempt to establish a benchmark for Slovak language models. We publish the masked language model, as well as the fine-tuned models for part-of-speech tagging, sentiment analysis and semantic textual similarity.

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Cited by top-tier papers1

  1. SkMTEB: Slovak Massive Text Embedding Benchmark and Model AdaptationMarek Suppa, Andrej Ridzik, Daniel Hládek, Natália Knazeková et al.ACL 2026

Builds on8

  1. TinyBERT: Distilling BERT for Natural Language UnderstandingXiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang et al.EMNLP Findings 2020 · 1,787 citations
  2. CamemBERT: a Tasty French Language ModelLouis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont et al.ACL 2020 · 703 citations
  3. ELECTRA: Pre-training Text Encoders as Discriminators Rather Than GeneratorsKevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. ManningICLR 2020 · 541 citations
  4. Unsupervised Cross-lingual Representation Learning at ScaleAlexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary et al.ACL 2020 · 539 citations
  5. RobBERT: a Dutch RoBERTa-based Language ModelPieter Delobelle, Thomas Winters, Bettina BerendtEMNLP Findings 2020 · 248 citations

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