Barbora Vidová Hladká
Main Research Interests
- Natural Language Processing
- Corpora
- Machine learning
- Digital humanities
- Non-native English and Czech
Projects
- Signál a šum v éře ŽurnalistikyMedia 5.0 (2021-2024)
- LINDAT/CLARIAH-CZDigital humanities (2019--2022)
- ParCzechParliamentary data (2020-- )
- @SWitCH4EU+ (2019, 2020, 2021-2022)
- 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
- 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), see pages 30-38 here
- Real Data Science group (2015-2018)
- CLTTCzech Legal Text Treebank (2012-2018)
- INTLIB Information Extraction project (2012-2015)
News
- 27.10.22 Signal and Noise Conference [pdf]
- 19.05.22 We encourage students to use data in their projects. Mapping the Scenes: Digital Humanities in Cultural Studies in Central and Eastern Europe;
- 04.04.22 Our paper Annotating Attribution in Czech News Server Articles has been accepted for a Poster presentation at the 13th International Conference on Language Resources and Evaluation
- 30.03.22 Anotace citačních frází a zdrojů v článcích na serveru iRozhlas 2
- 08.02.22 Our new course encourage students to use data in their projects, see details
- 08.12.21 Konference Signál a šum [pdf]
- 30.11.21 Anotace citačních frází a zdrojů v článcích na serveru iRozhlas
- 10.05.21 @SWitCH: Crash Course on Data Analytics for Students of Social Studies and Humanities accepted
- 18.03.21 Practices of Parliament, my talk
- 20.12.20 Your are welcome to download and search ParCzech PS7 2.0
- 20.11.20 Your are welcome to download and search ParCzech PS7 1.0
- 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, my habilitation talk and thesis
- LINDAT/CLARIAH-CZ tutorials https://lindat.cz/#education
Curriculum Vitae
Barbora Hladká is an associate professor in the Institute of Formal and Applied Linguistics, the head of which she is since February 2021, at the Computer Science School of the Faculty of Mathematics and Physics, Charles University. 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. 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
Selected Bibliography
- Google Scholar
- ORCID: https://orcid.org/0000-0003-4950-4587
- Researcher ID: N-9184-2017
- Scopus ID: 57193792766
Popularizační přednášky
- 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
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ÚFAL pro 20+
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