Create README.md

README.md

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+---
+language:
+- ru
+
+tags:
+- toxic comments classification
+
+licenses:
+- cc-by-nc-sa
+---
+
+## General concept of the model
+
+This model is trained on the dataset of sensitive topics of the Russian language. The concept of sensitive topics is described [in this article ](https://arxiv.org/abs/2103.05345) presented at the workshop for Balto-Slavic NLP at the EACL-2021 conference. Please note that this article describes the first version of the dataset, while the model is trained on the extended version of the dataset open-sourced on our [GitHub](https://github.com/skoltech-nlp/inappropriate-sensitive-topics/blob/main/Version2/appropriateness/Appropriateness.csv). The properties of the dataset is the same as the one described in the article, the only difference is the size.
+
+## Licensing Information
+
+[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
+
+[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
+
+[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
+[cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png
+
+## Citation
+
+If you find this repository helpful, feel free to cite our publication:
+
+```
+@inproceedings{babakov-etal-2021-bsnlp,
+    title = "Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation",
+    author = "Babakov, Nikolay and Logacheva, Varvara and Kozlova, Olga and Semenov, Nikita and Panchenko, Alexander",
+    booktitle = "To appear in the Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing",
+    month = April,
+    year = "2021",
+    address = "Kyiv, Ukraine"
+}
+```