Update README.md

README.md

@@ -138,4 +138,26 @@ Here are the fine-tuned versions of the `SK_Morph_BLM` model based on the folder
 - [`SK_Morph_BLM-sentiment-csfd`](https://huggingface.co/daviddrzik/SK_Morph_BLM-sentiment-csfd): Fine-tuned for sentiment analysis on the CSFD (movie review) dataset.
 - [`SK_Morph_BLM-sentiment-multidomain`](https://huggingface.co/daviddrzik/SK_Morph_BLM-sentiment-multidomain): Fine-tuned for sentiment analysis across multiple domains.
 - [`SK_Morph_BLM-sentiment-reviews`](https://huggingface.co/daviddrzik/SK_Morph_BLM-sentiment-reviews): Fine-tuned for sentiment analysis on general review datasets.
-- [`SK_Morph_BLM-topic-news`](https://huggingface.co/daviddrzik/SK_Morph_BLM-topic-news): Fine-tuned for topic classification in news articles.
+- [`SK_Morph_BLM-topic-news`](https://huggingface.co/daviddrzik/SK_Morph_BLM-topic-news): Fine-tuned for topic classification in news articles.
+
+## Citation
+
+If you find our model or paper useful, please consider citing our work:
+
+### Article:
+Držík, D., & Forgac, F. (2024). Slovak morphological tokenizer using the Byte-Pair Encoding algorithm. PeerJ Computer Science, 10, e2465. https://doi.org/10.7717/peerj-cs.2465
+
+### BibTeX Entry:
+```bib
+@article{drzik2024slovak,
+  title={Slovak morphological tokenizer using the Byte-Pair Encoding algorithm},
+  author={Držík, Dávid and Forgac, František},
+  journal={PeerJ Computer Science},
+  volume={10},
+  pages={e2465},
+  year={2024},
+  month={11},
+  issn={2376-5992},
+  doi={10.7717/peerj-cs.2465}
+}
+```