Multimodal model with text and drug embeddings for adverse drug reaction classification

Author:

Sakhovskiy Andrey,Tutubalina ElenaORCID

Funder

Ministry of Science and Higher Education of the Russian Federation

Russian Science Foundation

Council on grants of the President of the Russian Federation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

1. J. Devlin, M.-W. Chang, K. Lee, K. Toutanova, BERT: Pre-training of deep bidirectional transformers for language understanding, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 2019, pp. 4171–4186.

2. A. Klein, I. Alimova, I. Flores, A. Magge, Z. Miftahutdinov, A.-L. Minard, K. O’connor, A. Sarker, E. Tutubalina, D. Weissenbacher, et al. Overview of the fifth social media mining for health applications (# smm4h) shared tasks at coling 2020, in: Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020, pp. 27–36.

3. A. Magge, A. Klein, A. Miranda-Escalada, M.A. Al-Garadi, I. Alimova, Z. Miftahutdinov, E. Farre, S. Lima-López, I. Flores, K. O’Connor, et al. Overview of the sixth social media mining for health applications (# smm4h) shared tasks at naacl 2021, in: Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task, 2021, pp. 21–32.

4. Z. Miftahutdinov, A. Sakhovskiy, E. Tutubalina, KFU NLP team at SMM4H 2020 tasks: Cross-lingual transfer learning with pretrained language models for drug reactions, in: Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020, pp. 51–56.

5. Z. Miftahutdinov, I. Alimova, E. Tutubalina, On biomedical named entity recognition: experiments in interlingual transfer for clinical and social media texts, in: European Conference on Information Retrieval, Springer, 2020, pp. 281–288.

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