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Research that we do View details

Featured projects that are the most important for us View more

PathevoCourse syllabi understanding
ČTKDocument classification
Porta FontiumModern Access to Historical Sources
SentiSquareStartup

Featured publications that we are most proud of View more

Jiří Martínek and Ladislav Lenc and Pavel Král
Building an efficient OCR system for historical documents with little training data
Neural Computing and Applications (2020)
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Neural networks

Jiří Martínek and Pavel Král and Ladislav Lenc and Christophe Cerisara
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
Interspeech 2019 (2019)
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Dialogue act recognition | Neural networks

Jiří Martínek and Ladislav Lenc and Pavel Král and Anguelos Nicolaou and Vincent Christlein
Hybrid Training Data for Historical Text OCR
15th International Conference on Document Analysis and Recognition (ICDAR 2019) (2019)
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Neural networks

Christophe Cerisara and Pavel Král and Ladislav Lenc
On the effects of using word2vec representations in neural networks for dialogue act recognition
Computer Speech and Language (2018)
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Semantic analysis

Ladislav Lenc and Pavel Král
Deep Neural Networks for Czech Multi-label Document Classification
Computational Linguistics and Intelligent Text Processing (2018)
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Neural networks | Document classification

Tomáš Brychcín and Pavel Král
Unsupervised Dialogue Act Induction using Gaussian Mixtures
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers (2017)
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Semantic analysis | Dialogue act recognition

Josef Steinberger
Task-Based Evaluation of Anaphora Resolution: The Case of Summarization
Proceedings of Recent Advances in Natural Language Processing (RANLP) Workshop: Crossing Barriers in Text Summarization Research (2005)
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