Vojtěch Lanz
Main Research Interests
- Information Extraction
- Question-Answering
- Clinical Documents
- Digital Analysis of Gregorian Chant
Projects
- PhD Thesis
Topic: Document-level information extraction
Supervisor: doc. RNDr. Pavel Pecina, Ph.D.- RES-Q+: Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality.
- GI-Insight: New methods for stomach examination using artificial intelligence: Utilization of deep learning for assisted gastroscopy.
- DACT: Digital Analysis of Chant Transmission, advancing the global study of plainchant transmission through digital analysis and computational resources.
Curriculum Vitae
Selected Bibliography
- Google Scholar
- ORCID: 0009-0001-5742-0984
- Researcher ID: JGE-0053-2023
Papers
Vojtěch Lanz, and Pavel Pecina (2024): Paragraph Retrieval for Enhanced Question Answering in Clinical Documents. In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pages 580–590, Bangkok, Thailand. Association for Computational Linguistics.
Vojtěch Lanz, and Jan Hajič jr. (2023): Text boundaries do not provide a better segmentation of Gregorian antiphons. Proceedings of the 10th International Conference on Digital Libraries for Musicology (DLfM '23). Association for Computing Machinery, New York, NY, USA, 72–76.
Theses
- Master Thesis: Unsupervised segmentation of Gregorian chant melodies for exploring chant modality
Supervisor: MgA. et Mgr. Jan Hajič, jr., Ph.D.- Bachelor Thesis: Automatic Chord Recognition in Audio Recording
Supervisor: doc. Ing. Zdeněk Žabokrtský, Ph.D