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Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Label Text-Based Classification

Anton Hristov, Aleksandar Tahchiev, Hristo Papazov, Nikola Tulechki, Todor Primov, Svetla Boytcheva. Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Label Text-Based Classification. In Galia Angelova, Maria Kunilovskaya, Ruslan Mitkov, Ivelina Nikolova-Koleva, editors, Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), Held Online, 1-3September, 2021. pages 557-565, INCOMA Ltd., 2021. [doi]

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