Pavel Pecina
I am an associate professor working in the area of computational linguistics, natural language processing and other related areas at the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. My research interests include machine translation, information retrieval and extraction, multimodal data interpretation, and optical music recognition.
News
- I am seeking prospective students to pursue PhD in Natural Language Processing and related areas.
Research Profiles
- Google Scholar
- ORCID: 0000-0002-1855-5931
- Scopus ID: 23393602100
- Researcher ID: K-3770-2017
Teaching
- NPFL124 - Natural Language Processing (sice 2019)
- NPFL103 - Information Retrieval (since 2012)
- NPFL067 - Statistical Methods in Natural Language Processing I (2012-2022)
- NPFL068 - Statistical Methods in Natural Language Processing II (2012-2022)
Projects
- RES-Q+: Comprehensive solutions of healthcare improvement based on the global Registry of Stroke Care Quality, HORIZON-HLTH-2021-TOOL-06/101057603
- MEMORISE: Virtualisation and Multimodal Exploration of Heritage on Nazi Persecution, HORIZON-CL2-2021-HERITAGE-01/101061016
Students
- Klára Tauchmanová - Named entity recognition in historical texts (MSc)
- Igbal Huseynov - Topical segmentation of spoken narratives (MSc)
- Nair Amrita Harikrishnan - Unsupervised open information extraction with large language models (MSc, co-supervised)
- Karunakaran Goutham Venkatesh - Automatic relation extraction from clinical documents (MSc, co-supervised)
- Vojtěch Lanz - Information extraction from clinical documents (PhD)
- Christopher Brückner - Information extraction from historical documents (PhD)
- Filip Danielsson - Towards a dataset for estimation of keyboard fingerings (Bc, external)
- Jiří Mayer - Optical music recognition (PhD)
- Mateusz Krubiński - Multimodal summarization (PhD)
- Michal Auersperger - Neural representations (PhD)