Barbora Vidová Hladká

Main Research Interests

• Natural Language Processing 
• Corpora
• Machine learning
• Digital humanities
• Non-native English and Czech

Projects

• PONK - Asistent přístupné úřední komunikace_Law (2023--2025)
• Signál a šum v éře Žurnalistiky_Media 5.0 (2021-2024)
• LINDAT/CLARIAH-CZ_{Digital humanities} (2019--2026)
• ParCzech_{Parliamentary data} (2020-- )
• @SWitCH_4EU+ (2019, 2020, 2021-2022, 2022-2023)
• Čapek_{Sentence diagram editor}, Styx_{Exercisebook of Czech morphology and syntax}, LGame_{Play the language}

News

• 27.10.22 Signal and Noise Conference [pdf]
• 19.05.22 We encourage students to use data in their projects. Mapping the Scenes: Digital Humanities in Cultural Studies in Central and Eastern Europe;
• 04.04.22 Our paper Annotating Attribution in Czech News Server Articles has been accepted for a Poster presentation at the 13th International Conference on Language Resources and Evaluation
• 30.03.22 Anotace citačních frází a zdrojů v článcích na serveru iRozhlas 2
• 08.02.22 Our new course encourages students to use data in their projects, see details
• 03.06.20 Creating and Exploiting Annotated Corpora, my habilitation talk and thesis

Curriculum Vitae

CV as of II/2021

Barbora Hladká is an associate professor  in the Institute of Formal and Applied Linguistics, the head of which she has been since February 2021, at the Computer Science School of the Faculty of Mathematics and Physics, Charles University. Her research focuses on issues from natural language processing, mainly corpus annotation, information extraction, and application of machine learning in various domains especially in the digital humanities. In 1998, she was awarded the Post Workshop’98 Research Project Award by the Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA where she was working as a postdoc in 2000-2001. She has been teaching both national and international undergraduate courses on machine learning and supervising undergraduate and graduate students.

 

Teaching

• NPFL134 Data Analytics for Students of Social Studies and Humanities

Selected Bibliography

• Google Scholar
• ORCID: 0000-0003-4950-4587
• Scopus ID: 57193792766
• Researcher ID: N-9184-2017

Publications as of IX/2022

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