Katarzyna Wasielewska-Michniewska
Papers
1
Total Citations
2
H-Index
1
About
Katarzyna Wasielewska-Michniewska is a researcher specializing in natural language processing (NLP), artificial intelligence, and human-computer interaction, with a particular focus on Polish language processing and intelligent automation systems. Her work bridges the gap between linguistic feature engineering and practical robotic process automation (RPA) applications. Her most cited paper, "Feature Extraction for Polish Language Named Entities Recognition in Intelligent Office Assistant" (2022), introduces a novel feature extractor designed for a Named Entity Recognition (NER) system that processes user interface screenshots to enable self-learning capabilities in office automation tools. This contribution addresses the unique challenges of Polish language morphology in NER tasks, demonstrating how tailored feature extraction can improve recognition accuracy in real-world business contexts. While her citation count is still growing, her research has direct implications for developing more intuitive, language-aware digital assistants and automating repetitive office tasks. Wasielewska-Michniewska’s work represents an important step toward making AI systems more accessible and effective for Polish-speaking users, with potential applications in document processing, workflow automation, and intelligent user interfaces.
Research Focus
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Top Papers
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