no code implementations • RANLP 2021 • Anton Hristov, Aleksandar Tahchiev, Hristo Papazov, Nikola Tulechki, Todor Primov, Svetla Boytcheva
We attempt to solve this problem through automatic SNOMED CT encoding, where SNOMED CT is one of the most widely used and comprehensive clinical term ontologies.
no code implementations • RANLP 2021 • Boris Velichkov, Sylvia Vassileva, Simeon Gerginov, Boris Kraychev, Ivaylo Ivanov, Philip Ivanov, Ivan Koychev, Svetla Boytcheva
In our research study all BERT models are fine-tuned with additional medical texts in Bulgarian and then applied to the classification task for encoding medical diagnoses in Bulgarian into ICD-10 codes.
no code implementations • RANLP 2021 • Sylvia Vassileva, Gergana Todorova, Kristina Ivanova, Boris Velichkov, Ivan Koychev, Galia Angelova, Svetla Boytcheva
For the “Diagnosis” section a deep learning text-based encoding into ICD-10 codes is applied using MBG-ClinicalBERT - a fine-tuned ClinicalBERT model for Bulgarian medical text.
no code implementations • RANLP 2019 • Boris Velichkov, Ivan Koychev, Svetla Boytcheva
We test the hypothesis that the sports results can be predicted by using natural language processing and machine learning techniques applied over interviews with the players shortly before the sport events.
no code implementations • RANLP 2019 • Svetla Boytcheva, Galia Angelova, Zhivko Angelov
The idea is to determine whether a patient has risk factors for a specific disease analyzing only his/her outpatient records.
no code implementations • RANLP 2019 • Andrey Tagarev, Nikola Tulechki, Svetla Boytcheva
This paper addresses the task of categorizing companies within industry classification schemes.
no code implementations • RANLP 2017 • Svetla Boytcheva, Ivelina Nikolova, Galia Angelova, Zhivko Angelov
We describe a method which extracts Association Rules from texts in order to recognise verbalisations of risk factors.
no code implementations • RANLP 2017 • Ivajlo Radev, Kiril Simov, Galia Angelova, Svetla Boytcheva
In this paper we describe annotation process of clinical texts with morphosyntactic and semantic information.
no code implementations • RANLP 2017 • Svetla Boytcheva, Ivelina Nikolova, Galia Angelova
Unfortunately, most frequent pattern mining approaches do not use contextual information for extracted patterns: general patterns are extracted regardless of the context.
no code implementations • RANLP 2017 • Kiril Simov, Svetla Boytcheva, Petya Osenova
Word vectors with varying dimensionalities and produced by different algorithms have been extensively used in NLP.