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--- |
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language: |
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- ru |
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- en |
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tags: |
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- bio |
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- med |
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- biomedical |
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--- |
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## EnDR-BERT |
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EnDR-BERT - Multilingual, Cased, which pretrained on the english collection of consumer comments on drug administration from [2]. 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 and all the 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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If you find this repository helpful, feel free to cite our publication: |
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[1] Tutubalina E, Alimova I, Miftahutdinov Z, et al. The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews.//Bioinformatics. - 2020. |
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preprint: https://arxiv.org/abs/2004.03659 |
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``` |
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@article{10.1093/bioinformatics/btaa675, |
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author = {Tutubalina, Elena and Alimova, Ilseyar and Miftahutdinov, Zulfat and Sakhovskiy, Andrey and Malykh, Valentin and Nikolenko, Sergey}, |
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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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journal = {Bioinformatics}, |
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year = {2020}, |
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month = {07}, |
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issn = {1367-4803}, |
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doi = {10.1093/bioinformatics/btaa675}, |
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url = {https://doi.org/10.1093/bioinformatics/btaa675}, |
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note = {btaa675}, |
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eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa675/33539752/btaa675.pdf}, |
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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.//Russian Chemical Bulletin. β 2017. β Π’. 66. β β. 11. β Π‘. 2180-2189. |
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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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