Search Results for author: Galia Angelova

Found 19 papers, 1 papers with code

Automatic Transformation of Clinical Narratives into Structured Format

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.

Binary Classification Negation +1

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark

2 code implementations4 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.

Fact Checking named-entity-recognition +5

Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts

no code implementations4 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.

Sentence text-classification +1

Risk Factors Extraction from Clinical Texts based on Linked Open Data

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.

Mining Association Rules from Clinical Narratives

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.

Identification of Risk Factors in Clinical Texts through Association Rules

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.

Sublanguage Corpus Analysis Toolkit: A tool for assessing the representativeness and sublanguage characteristics of corpora

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.


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