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]
@inproceedings{HristovTPTPB21,
title = {Application of Deep Learning Methods to SNOMED CT Encoding of Clinical Texts: From Data Collection to Extreme Multi-Label Text-Based Classification},
author = {Anton Hristov and Aleksandar Tahchiev and Hristo Papazov and Nikola Tulechki and Todor Primov and Svetla Boytcheva},
year = {2021},
url = {https://aclanthology.org/2021.ranlp-1.63},
researchr = {https://researchr.org/publication/HristovTPTPB21},
cites = {0},
citedby = {0},
pages = {557-565},
booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), Held Online, 1-3September, 2021},
editor = {Galia Angelova and Maria Kunilovskaya and Ruslan Mitkov and Ivelina Nikolova-Koleva},
publisher = {INCOMA Ltd.},
}