Barbora Vidová Hladká

office
409
email
hladka@ufal.mff.cuni.cz
phone
+420 951 554 223

Main Research Interests

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

 

Projects

 

  • 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.

News

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Curriculum Vitae

CV as of X/2020

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.

 

Teaching

List of classesNPFL054 Úvod do strojového učení

Selected Bibliography

Publications as of X/2020