Purpose
Natural language processing (NLP) is the intersection of information technology and linguistics. It is concerned with processing the huge amounts of unstructured natural language data that emerge at lightning speed in the digital era – the age of social networks. We research and deliver novel methods to improve NLP tasks of different types, while covering multiple stages of text processing.
Our research combines various approaches, from linguistic and statistical to machine learning and deep learning. We employ novel language models that take advantage of recent advances in the field, while covering a variety of application domains. We focus on open problems related to text classification, information extraction, sentiment analysis and text generation. We look for applications of transfer learning and improving the interpretability of NLP models. Our work includes the processing of low-resource languages, such as Slovak.
RESEARCH AREAS OF INTEREST:
- Neural language models
- Interpretability and transparency
- Multilingual learning
- Slovak NLP
Team
Marián Šimko
Lead and Researcher
Kamil Burda
Researcher
Michal Gregor
Researcher
Sebastian Kula
Researcher
Miroslav Blšták
Research Engineer
Alexander Brecko
Research Engineer
Tomas Javurek
Research Engineer
Jaroslav Kopčan
Research Engineer
Eduard Mittaš
Research Engineer
Andrej Ridzik
Research Engineer
Martin Tamajka
Research Engineer
Marcel Veselý
Research Engineer
Viktor Bachratý
Research Consultant
Ivana Beňová
PhD Student
Ivan Vykopal
PhD Student
Karolína Hájková
Research Intern
Natália Kňažeková
Research Intern
Ľuboš Kriš
Research Intern
Former Members
Pavol Kebis
Research Intern 03/2024 – 08/2024
Alexandra Barančíková
Research Intern 07/2023 – 05/2024
Kris Farrugia
Research Engineer 09/2022-05/2024
Matúš Pikuliak
Research Consultant 10/2022-01/2024
Michael Pavlik
Research Intern 09/2023-01/2024
Peter Griger
Research Engineer 03/2022-09/2023
Ján Škvara
Research Intern 07/2023-08/2023
Richard Cepka
Research Intern 10/2022-06/2023
Martin Konôpka
Researcher 10/2020-12/2021
Štefan Grivalský
Researcher 11/2020-08/2021
Research & Innovation Projects
Selected publications
Automatic question generation based on sentence structure analysis using machine learning approach
Blstak, M., Rozinajova, V. Abstract: Automatic question generation is one of the most challenging tasks of Natural Language Processing. It requires “bidirectional” language processing: firstly, the system has to understand…
