RuDR-BERT model card (#5698)
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RuDR-BERT
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---
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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. \
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link: https://yadi.sk/d/-PTn0xhk1PqvgQ
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Citing & Authors
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---
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If you find this repository helpful, feel free to cite our publication:
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[1] https://arxiv.org/abs/2004.03659
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```
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@misc{tutubalina2020russian,
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title={The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews},
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author={Elena Tutubalina and Ilseyar Alimova and Zulfat Miftahutdinov and Andrey Sakhovskiy and Valentin Malykh and Sergey Nikolenko},
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year={2020},
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eprint={2004.03659},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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[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.
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[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)
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```
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@article{tutubalina2017using,
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title={Using semantic analysis of texts for the identification of drugs with similar therapeutic effects},
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author={Tutubalina, EV and Miftahutdinov, Z Sh and Nugmanov, RI and Madzhidov, TI and Nikolenko, SI and Alimova, IS and Tropsha, AE},
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journal={Russian Chemical Bulletin},
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volume={66},
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number={11},
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pages={2180--2189},
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year={2017},
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publisher={Springer}
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}
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```
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