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
Kris Farrugia
Researcher
Sebastian Kula
Researcher
Matúš Pikuliak
Researcher
Miroslav Blšták
Research Engineer
Peter Griger
Research Engineer
Martin Tamajka
Research Engineer
Viktor Bachratý
Research Consultant
Ivana Beňová
PhD Student
Richard Cepka
Research Intern
Marcel Veselý
Research Intern
Ivan Vykopal
Research Intern

Former Members

Štefan Grivalský
Researcher    11/2020 – 08/2021
Martin Konôpka
Researcher 10/2020 – 12/2021