Update README.md

README.md

@@ -8,6 +8,25 @@ Model trained with SemEval 2017 corpus (around ~40k tweets). Base model is [BerT
 
 Uses `POS`, `NEG`, `NEU` labels.
 
-**Coming soon**: a brief paper describing the model and training.
+## License
 
+`pysentimiento` is an open-source library for non-commercial use and scientific research purposes only. Please be aware that models are trained with third-party datasets and are subject to their respective licenses. 
+
+1. [TASS Dataset license](http://tass.sepln.org/tass_data/download.php)
+2. [SEMEval 2017 Dataset license]()
+
+## Citation
+
+If you use `pysentimiento` in your work, please cite [this paper](https://arxiv.org/abs/2106.09462)
+
+```
+@misc{perez2021pysentimiento,
+      title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
+      author={Juan Manuel Pérez and Juan Carlos Giudici and Franco Luque},
+      year={2021},
+      eprint={2106.09462},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
 Enjoy! 🤗