---
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"
}
```