Miroslav Blšták

Miroslav specializes in Natural Language Processing (NLP), combining linguistic approaches with machine learning. He has developed numerous tools, lexicons, and knowledge sources for text processing, with a primary focus on Slovak as a low-resource language. His expertise covers a broad spectrum of NLP tasks, including named entity recognition, concept extraction, text reconstruction, and sentiment analysis. Additionally, he focuses on developing morphological and lexical analysis tools for the Slovak, applicable in virtual assistants and other systems that rely on text analysis.

Beyond his research in NLP, he has a long-standing interest in computer-assisted learning, where his doctoral research focused on automatic question generation. He has been actively involved in developing interactive educational applications and games that leverage information technology to enhance the learning experience.

During his tenure at the Slovak University of Technology, Miroslav mentored over 20 Bachelor’s and Master’s students in the field of NLP. He was also deeply involved in delivering specialized courses and seminars on text processing, business process modeling, and software architecture.