Barbora Vidová Hladká

Main Research Interests

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

 

Projects

• 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.
• ParCzech_{Parliamentary data} (2020-- )
• LINDAT/CLARIAH-CZ_{Digital humanities} (2019--2022)
• @SWitCH_4EU+ (2019, 2020)
• Non-native Czech from the theoretical and computational perspective (2016--2018), see pages 30-38 here
• RDS _{Real Data Science group} (2015--2018)
• CLTT_{Czech Legal Text Treebank} (2012--2018)
• INTLIB _{Information Extraction project} (2012--2015)
• Čapek_{Sentence diagram editor}
• Styx_{Exercisebook of Czech morphology and syntax}
• ​LGame_{Play the language}

News

• 3/6/20 Creating and Exploiting Annotated Corpora, habilitation talk and thesis
• ParCzech PS7 1.0 just comes out! Your are welcome to download and search it.
• Accepted! Hladká Barbora, Kopp Matyáš and Straňák Pavel. Compiling Czech Parliamentary Stenographic Protocols into a Corpus. In Proceedings of ParlaCLARIN II Workshop. 2020.  
• LINDAT/CLARIAH-CZ tutorials at https://lindat.cz/#education

Curriculum Vitae

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 August 2019

Teaching

List of classesNPFL054 Úvod do strojového učení

Selected Bibliography

Publications as of VIII/2019