NLP group

Neural networks

Artificial neural networks are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn to do tasks by considering examples, generally without task-specific programming.

Publications

Ladislav Lenc and Jiří Martínek and Pavel Král
Tools for Semi-automatic Preparation of Training Data for OCR
Artificial Intelligence Applications and Innovations (2019)
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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

Vincent Christlein and Anguelos Nicolaou and Pavel Král
Deep Generalized Max Pooling
15th International Conference on Document Analysis and Recognition (ICDAR 2019) (2019)
BibTex
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

Jiří Martínek and Ladislav Lenc and Pavel Král
Neural networks for multi-lingual multi-label document classification
27th International Conference on Artificial Neural Networks (ICANN 2018) (2018)
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Neural networks | Document classification

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

Jiří Martínek and Ladislav Lenc and Pavel Král
Semantic Space Transformations for Cross-Lingual Document Classification
27th International Conference on Artificial Neural Networks (ICANN 2018) (2018)
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Semantic analysis | Neural networks | Document classification

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Neural networks

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