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
- 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
- Using Adversarial Examples in Natural Language Processing2018 | Faculty of Mathematics and Physics
- LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs2018 | Faculty of Mathematics and Physics
- UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task2018 | Faculty of Mathematics and Physics
- Czech Named Entity Corpus2017 | Faculty of Mathematics and Physics
- Neural Networks for Featureless Named Entity Recognition in Czech2016 | Faculty of Mathematics and Physics
- CoNLL 2017 Shared Task - Automatically Annotated Raw Texts and Word EmbeddingsPublication without faculty affiliation
- ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution2023 | Faculty of Mathematics and Physics
Loading network view...