Barbora Vidová Hladká
Main Research Interests
- Natural Language Processing
- Machine learning
- Digital humanities
- Non-native English and Czech
- LINDAT/CLARIAH-CZDigital humanities (2019--2022)
- ParCzechParliamentary data (2020-- )
- @SWitCH4EU+ (2019, 2020)
- ČapekSentence diagram editor
- StyxExercisebook of Czech morphology and syntax
- LGamePlay the language
- Introduction to Machine Learning, a semester course at Charles University in Prague, Faculty of Mathematics and Physics
- A General Introduction to Machine Learning in Natural Language Processing using R, a week course at ESSLLI 2013
- Selected Topics in Applied Machine Learning: An integrating view on data analysis and learning algorithms, a week course at ESSLLI 2015
- Non-native Czech from the theoretical and computational perspective (2016-2018), see pages 30-38 here
- Readl Data Science group (2015-2018)
- CLTTCzech Legal Text Treebank (2012-2018)
- INTLIB Information Extraction project (2012-2015)
- 20.11.20 ParlaMint dataset will be enriched with Czech parliamentary data
- 02.11.20 The book Compiling and annotating a learner corpus for a morphologically rich language is out now!
- 03.06.20 Creating and Exploiting Annotated Corpora, habilitation talk and thesis
- Your are welcome to download and search ParCzech PS7 1.0.
- LINDAT/CLARIAH-CZ tutorials at https://lindat.cz/#education
- 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.
- 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
Barbora Hladká is a senior research associate in the Institute of Formal and Applied Linguistics at the Computer Science School of the Faculty of Mathematics and Physics, Charles University. She received a Ph.D. in Mathematical Linguistics from Charles University in 2000. 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. She has authored about 50 scientific articles on supervised machine learning approaches to computational linguistic problems. 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.