Model Card for Model ID
Generating Czech poetry in an educative and multimedia environment
Model Details
Model Description
This is the model card of the EduPo poetry generation model.
- Developed by: EduPo project
- Funded by: the EduPo grant (TQ01000153 Generating Czech poetry in an educative and multimedia environment), which is co-financed from the state budget by the Technology agency of the Czech Republic under the SIGMA DC3 Programme.
- Language(s) (NLP): Czech
- License: https://www.llama.com/llama3_1/license/
- Finetuned from model [optional]: Llama 3.1 8B
Model Sources
- Repository: https://github.com/ufal/edupo
- Paper: https://aclanthology.org/2025.nlp4dh-1.45/
Bias, Risks, and Limitations
The model was fine-tuned on the Corpus of Czech Verse and may reflect biases contained in that corpus, as well as biases contained in the original Llama training data.
Training Details
Training Data
Evaluation
See Evaluation of Generated Poetry
Citation
BibTeX:
@inproceedings{rosa-etal-2025-edupo,
title = "{E}du{P}o: Progress and Challenges of Automated Analysis and Generation of {C}zech Poetry",
author = "Rosa, Rudolf and
Mare{\v{c}}ek, David and
Musil, Tom{\'a}{\v{s}} and
Chudoba, Michal and
Landspersk{\'y}, Jakub",
editor = {H{\"a}m{\"a}l{\"a}inen, Mika and
{\"O}hman, Emily and
Bizzoni, Yuri and
Miyagawa, So and
Alnajjar, Khalid},
booktitle = "Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities",
month = may,
year = "2025",
address = "Albuquerque, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.nlp4dh-1.45/",
doi = "10.18653/v1/2025.nlp4dh-1.45",
pages = "524--542",
ISBN = "979-8-89176-234-3",
abstract = "This paper explores automated analysis and generation of Czech poetry. We review existing tools, datasets, and methodologies while considering the unique characteristics of the Czech language and its poetic tradition. Our approach builds upon available resources wherever possible, yet requires the development of additional components to address existing gaps. We present and evaluate preliminary experiments, highlighting key challenges and potential directions for future research."
}
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