Vojtěch Lanz

Main Research Interests

• Information Extraction
  • Named Entity Recognition
• Music in Context of Computational Linguistics
  • Gregorian Chants - Unsupervised Melody Segmentation
  • Automatic Chord Recognition

Projects

PhD Thesis

Topic: Document-level information extraction
Superviser: doc. RNDr. Pavel Pecina, Ph.D.

Curriculum Vitae

Charles University, Faculty of Mathematics and Physics
2023-2027 (anticipated completion)
- PhD student of Computational Linguistics

Charles University, Faculty of Mathematics and Physics
2021-2023
- Master in Computer Science - Language Technologies and Computational Linguistics

Charles University, Faculty of Mathematics and Physics
2018-2021
- Bachelor in Computer Science 

My CV

Selected Bibliography

• Google Scholar
• ORCID: 0009-0001-5742-0984
• Researcher ID: JGE-0053-2023