From 21c1fe52902498c848a450676ec9d5e9aab2b623 Mon Sep 17 00:00:00 2001
From: dartrevan <awesombatsy@gmail.com>
Date: Tue, 14 Jul 2020 17:51:53 +0300
Subject: [PATCH] RuDR-BERT model card (#5698)

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 model_cards/cimm-kzn/rudr-bert/README.md | 35 ++++++++++++++++++++++++
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+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}
+}
+```