Barbora Vidová Hladká

+420 951 554 223
+420 257 223 293
Malostranské náměstí 25
118 00 Praha 1
Czech Republic

Main Research Interests

  • Corpora
  • Machine learning
  • Natural Language Processing and Linked Open Data
  • Tracing salience in documents

​Research statement X/2014 (old, but not obsolete)


  • Introducing machine learning
    • 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
    • Hladká Barbora, Holub Martin: A Gentle Introduction to Machine Learning for Natural Language Processing: How to start in 16 practical steps.In: Language and Linguistics Compass, vol. 9, No. 2, pp. 55-76, 2015.
  • Non-native Czech from the theoretical and computational perspective (2016-2018)
  • RDS Real Data Science group (2015 -- )
  • CLTTCzech Legal Text Treebank (2012-2015)
  • INTLIB Information Extraction project (2012-2015)
  • ČapekSentence diagram editor (2012 -- )
  • StyxExercisebook of Czech morphology and syntax (2006 -- )
  • LGamePlay the language  (2009 -- )

Curriculum Vitae

Short bio

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, native language identification, and application of machine learning in various domains. 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.


CV III/2016


List of classesNPFL054 Úvod do strojového učení

Selected Bibliography

Publications as of III/2016