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.


  • Neural language models
  • Interpretability and transparency
  • Multilingual learning
  • Slovak NLP


Marián Šimko
Expert Researcher
Miroslav Blšták
Junior Researcher
Matúš Pikuliak
Junior Researcher
Martin Konôpka
Research Engineer
Viktor Bachratý
Research Consultant
Martin Tamajka
Research Assistant
Ivana Beňová
PhD Student
Marcel Veselý
Research Intern

Former Members

Štefan Grivalský
Research Assistant