Barbora Vidová Hladká
Main Research Interests
- Corpora
- Machine learning
- Non-native English and Czech
- Natural Language Processing and Linked Open Data
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.
- LINDAT/CLARIAH-CZ (2019 -- 2022)
- Non-native Czech from the theoretical and computational perspective (2016 --2018) -- see pages 30-38 here
- RDS Real Data Science group (2015 -- 2018)
- CLTTCzech Legal Text Treebank (2012 -- 2018)
- INTLIB Information Extraction project (2012 -- 2015)
- ČapekSentence diagram editor
- StyxExercisebook of Czech morphology and syntax
- LGamePlay the language
News
- November 28, 2019 -- Fall tutorials organized by LINDAT/CLARIAH-CZ -- Tutorial #3
- October 17, 2019 -- Fall tutorials organized by LINDAT/CLARIAH-CZ -- Tutorial #2
- September 26, 2019 -- Fall tutorials organized by LINDAT/CLARIAH-CZ -- Tutorial #1
- XI/18
- Tour de CLARIN publication
- final paper submission TLT 2018 -- Hana, Jirka and Barbora Hladka: Universal Dependencies and Non-Native Czech, pdf, our presentation
- X/18
- Jirka Hana presented our paper Syntactic annotation of a second-language learner corpus at ICBLT 2018, pdf
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.
Teaching
List of classesNPFL054 Úvod do strojového učení
Selected Bibliography
- Strojové učení a pravidla pro extrakci informací z textů, Machine learning Meetups, 2/12/2015, Praha, video
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ÚFAL pro 20+
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ÚFAL pro náctileté a jejich učitele