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.
2 code implementations • 4 Jun 2023 • Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev
We run the first systematic evaluation of pre-trained language models for Bulgarian, comparing and contrasting results across the nine tasks in the benchmark.
no code implementations • SemEval (ACL) 2016 • Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering.
no code implementations • 4 Dec 2019 • Evgeni Stefchov, Galia Angelova, Preslav Nakov
We present the construction of an annotated corpus of PubMed abstracts reporting about positive, negative or neutral effects of treatments or substances.
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 • SEMEVAL 2018 • Daniel Kopev, Atanas Atanasov, Dimitrina Zlatkova, Momchil Hardalov, Ivan Koychev, Ivelina Nikolova, Galia Angelova
We present the system built for SemEval-2018 Task 2 on Emoji Prediction.
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 • 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 • LREC 2014 • Irina Temnikova, William A. Baumgartner Jr., Negacy D. Hailu, Ivelina Nikolova, Tony McEnery, Adam Kilgarriff, Galia Angelova, K. Bretonnel Cohen
SubCAT, the Sublanguage Corpus Analysis Toolkit, assesses the representativeness and closure properties of corpora to analyze the extent to which they are either sublanguages, or representative samples of the general language.