Classes
- Deep Learning +1NPFL114 | Faculty of Mathematics and Physics
- Deep learning seminarNPFL117 | Faculty of Mathematics and Physics
- Natural language processing on computational clusterNPFL118 | Faculty of Mathematics and Physics
- Deep Reinforcement Learning +1NPFL122 | Faculty of Mathematics and Physics
- Programming language F#NPRG049 | Faculty of Mathematics and Physics
Publications
- 75 Languages, 1 Model: Parsing Universal Dependencies Universally2019 | Faculty of Mathematics and Physics
- Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER2019 | Faculty of Mathematics and Physics
- UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging2019 | Faculty of Mathematics and Physics
- Neural Architectures for Nested NER through Linearization2019 | Faculty of Mathematics and Physics
- UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing2016 | Faculty of Mathematics and Physics
- Neural Networks for Featureless Named Entity Recognition in Czech2016 | Faculty of Mathematics and Physics
- Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition2014 | Faculty of Mathematics and Physics
- LiStr - Linguistic Structure Induction toolkitPublication without faculty affiliation
- ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution2023 | Faculty of Mathematics and Physics
- Language Technology Tools and Services2023 | Faculty of Mathematics and Physics
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