README.md

RuDR-BERT
---
RuDR-BERT - Multilingual, Cased, which pretrained on the raw part of the RuDReC corpus (1.4M reviews). Pre-training was based on the [original BERT code](https://github.com/google-research/bert) provided by Google. In particular, Multi-BERT was for used for initialization; vocabulary of Russian subtokens and parameters are the same as in Multi-BERT. Training details are described in our paper. \
   link: https://yadi.sk/d/-PTn0xhk1PqvgQ
   

Citing & Authors
---
If you find this repository helpful, feel free to cite our publication:

[1] https://arxiv.org/abs/2004.03659
```
@misc{tutubalina2020russian,
    title={The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews},
    author={Elena Tutubalina and Ilseyar Alimova and Zulfat Miftahutdinov and Andrey Sakhovskiy and Valentin Malykh and Sergey Nikolenko},
    year={2020},
    eprint={2004.03659},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```
[2] Tutubalina, EV and Miftahutdinov, Z Sh and Nugmanov, RI and Madzhidov, TI and Nikolenko, SI and Alimova, IS and Tropsha, AE Using semantic analysis of texts for the identification of drugs with similar therapeutic effects.
   [link to paper](https://www.researchgate.net/profile/Elena_Tutubalina/publication/323751823_Using_semantic_analysis_of_texts_for_the_identification_of_drugs_with_similar_therapeutic_effects/links/5bf7cfc3299bf1a0202cbc1f/Using-semantic-analysis-of-texts-for-the-identification-of-drugs-with-similar-therapeutic-effects.pdf)
```
@article{tutubalina2017using,
    title={Using semantic analysis of texts for the identification of drugs with similar therapeutic effects},
    author={Tutubalina, EV and Miftahutdinov, Z Sh and Nugmanov, RI and Madzhidov, TI and Nikolenko, SI and Alimova, IS and Tropsha, AE},
    journal={Russian Chemical Bulletin},
    volume={66},
    number={11},
    pages={2180--2189},
    year={2017},
    publisher={Springer}
}
```