Barbora Vidová Hladká
Main Research Interests
1.2.2025 začíná mé druhé funkční období coby ředitelky Ústavu formální a aplikované lingvistiky MFF UK. Ve výběrovém řízení jsem předložila tento nástin koncepce rozvoje pracoviště v období 2025-2028 / My second term as Head of the Institute of Formal and Applied Linguistics MFF UK begins on 1.2. 2025. However, I'm not giving up research topics:-)
- Natural Language Processing
- Corpora
- Machine learning
- Digital humanities
Projects
- InfoveillanceSocial media (2025-2028)
- SPRINTLegal tech (2026)
- HumanAIdAI in SHUV (2025-2028)
- OpenEuroLLMLarge Language Models (2025-2028)
- CEDMO 2.0 NPODigital media (2024-2026)
- LINDAT/CLARIAH-CZDigital humanities (2019-2026)
- Newsroom AIDigital media (2023-2026)
- PONK - Asistent přístupné úřední komunikaceLegal tech (2023-2025)
- HPLTLarge Language Models (2022-2025)
- ParCzechParliamentary data (2020-2025), ParlaMint tutorial
- Signál a šum v éře Žurnalistiky 5.0Media (2021-2023)
- @SWitCH4EU+ (2019, 2020, 2021-2022, 2022-2023)
- ČapekSentence diagram editor, StyxExercisebook of Czech morphology and syntax, LGamePlay the language
Curriculum Vitae
Barbora Hladká is an Associate Professor at the Institute of Formal and Applied Linguistics within the School of Computer Science at the Faculty of Mathematics and Physics, Charles University. Since February 2021, she has served as the head of the institute. Her research focuses on natural language processing, particularly corpus annotation, information extraction, and applications of machine learning across various domains, especially the digital humanities. In 1998, she received the Post Workshop’98 Research Project Award from the Center for Language and Speech Processing at Johns Hopkins University in Baltimore, USA, where she later worked as a postdoctoral researcher from 2000 to 2001. She teaches undergraduate courses in machine learning for both Czech and international students and supervises undergraduate and graduate research.
Teaching
Selected Bibliography
- Google Scholar
- ORCID: 0000-0003-4950-4587
- Scopus ID: 57193792766
- Researcher ID: N-9184-2017
Popularizační přednášky
- 27.11.20 Jak umělá inteligence chápe občanský zákoník, Noc vědců, on-line, anketa
- 11.11.20 Co umělá inteligence soudí o občanském zákoníku a proč se jí na to bojíme zeptat?, Noc fakulty, on-line.
Archiv
- 02.12.15 Strojové učení a pravidla pro extrakci informací z textů, Machine learning Meetups, Praha, video
- I
ÚFAL pro 20+
- I
ÚFAL pro náctileté a jejich učitele


