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 LinguisticsCharles University, Faculty of Mathematics and Physics
2021-2023
- Master in Computer Science - Language Technologies and Computational LinguisticsCharles University, Faculty of Mathematics and Physics
2018-2021
- Bachelor in Computer Science
Selected Bibliography
- Google Scholar
- ORCID: 0009-0001-5742-0984
- Researcher ID: JGE-0053-2023