SlovakBERT: Slovak Masked Language Model
Matúš Pikuliak, Štefan Grivalský, Martin Konôpka, Miroslav Blšták, Martin Tamajka, Viktor Bachratý, Marian Simko, Pavol Balážik, 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.- Anthology ID:
- 2022.findings-emnlp.530
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2022
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates
- Editors:
- Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7156–7168
- Language:
- URL:
- https://aclanthology.org/2022.findings-emnlp.530
- DOI:
- 10.18653/v1/2022.findings-emnlp.530
- Cite (ACL):
- Matúš Pikuliak, Štefan Grivalský, Martin Konôpka, Miroslav Blšták, Martin Tamajka, Viktor Bachratý, Marian Simko, Pavol Balážik, Michal Trnka, and Filip Uhlárik. 2022. SlovakBERT: Slovak Masked Language Model. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 7156–7168, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
- Cite (Informal):
- SlovakBERT: Slovak Masked Language Model (Pikuliak et al., Findings 2022)
- PDF:
- https://preview.aclanthology.org/gem-23-ingestion/2022.findings-emnlp.530.pdf