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. We use various models of neural networks in wide spectrum of tasks.

Publications

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection
Jakub Šmíd and Pavel Přibáň and Pavel Král
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA 2024) (2024)
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Sentiment Analysis | Document Classification | Neural Networks
UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause Analysis
Josef Baloun and Jiří Martínek and Ladislav Lenc and Pavel Král
SemEval2024 (2024)
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Document Classification | Neural Networks
LLaMA-Based Models for Aspect-Based Sentiment Analysis
Jakub Šmíd and Pavel Přibáň and Pavel Král
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA 2024) (2024)
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Sentiment Analysis | Neural Networks
Czech medical coding assistant based on transformer networks
Ladislav Lenc and Jiří Martínek and Josef Baloun and Pavel Přibáň and Martin Prantl and Stephen Taylor and Pavel Král
Computers in Biology and Medicine (2024)
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Language Modeling | Document Classification | Neural Networks
Kernel Least Squares Transformations for Cross-lingual Semantic Spaces
Adam Mištera and Tomáš Brychcín
Text, Speech, and Dialogue (2024)
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Semantic Analysis | Language Modeling | Neural Networks
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
Jakub Šmíd and Pavel Přibáň and Ondřej Pražák and Pavel Král
LREC-COLING 2024 (2024)
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Sentiment Analysis | Neural Networks
Heimatkunde: Dataset for Multi-Modal Historical Document Analysis
Josef Baloun and Ladislav Lenc and Jiří Martínek and Pavel Král
ICAART (2024)
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Neural Networks | Image Processing | Artificial Intelligence
Prompt-Based Approach for Czech Sentiment Analysis
Jakub Šmíd and Pavel Přibáň
RANLP 2023 (2023)
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Sentiment Analysis | Neural Networks
FCN-Boosted Historical Map Segmentation with Little Training Data
Josef Baloun and Ladislav Lenc and Pavel Král
ICDAR (2023)
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Neural Networks | Image Processing
Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages
Pavel Přibáň and Josef Steinberger
BSNLP (2023)
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Neural Networks | Named Entity Recognition
Towards Historical Map Analysis Using Deep Learning Techniques
Ladislav Lenc and Josef Baloun and Jiří Martínek and Ladislav Lenc
AIAI (2023)
Neural Networks | Image Processing
ElectroCardioGuard: Preventing patient misidentification in electrocardiogram databases through neural networks
Jakub Sido
Knowledge-Based Systems (2023)
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Neural Networks | Artificial Intelligence
Findings of the Second Shared Task on Multilingual Coreference Resolution
Zdenek Žabokrtský and Miloslav Konopík and Anna Nedoluzhko and Michal Novak and Maciej Ogrodniczuk and Martin Popel and Ondřej Pražák and Jakub Sido and Daniel Zeman
CRAC 2023 Shared Task on Multilingual Coreference Resolution (2023)
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Neural Networks
Towards Automatic Medical Report Classification in Czech
Pavel Přibáň and Josef Baloun and Jiří Martínek and Ladislav Lenc and Pavel Král
15th International Conference on Agents and Artificial Intelligence (ICAART 2023) (2023)
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Language Modeling | Document Classification | Neural Networks
Weak supervision for Question Type Detection with large language models
Jiří Martínek and Christophe Cerisara and Pavel Král and Ladislav Lenc and Josef Baloun
Interspeech (2022)
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Language Modeling | Dialogue Act Recognition | Neural Networks
Czech Dataset for Cross-lingual Subjectivity Classification
Pavel Přibáň and Josef Steinberger
LREC (2022)
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Sentiment Analysis | Neural Networks
Evaluating Attribution Methods for Explainable NLP with Transformers
Vojtěch Bartička and Ondřej Pražák and Miloslav Konopík and Jakub Sido
TSD (2022)
Language Modeling | Neural Networks
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain
Jan Pašek and Jakub Sido and Miloslav Konopík and Ondřej Pražák
RANLP (2022)
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Language Modeling | Neural Networks
Findings of the shared task on multilingual coreference resolution
Zdenek Žabokrtský and Miloslav Konopík and Anna Nedoluzhko and Michal Novak and Maciej Ogrodniczuk and Martin Popel and Ondřej Pražák and Jakub Sido and Daniel Zeman and Yilun Zhu
CRAC (2022)
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Neural Networks
Historical Map Toponym Extraction for Efficient Information Retrieval
Ladislav Lenc and Jiří Martínek and Josef Baloun and Martin Prantl and Pavel Král
15th IAPR International Workshop on Document Analysis Systems (2022)
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Neural Networks | Image Processing
Text Line Segmentation in Historical Newspapers
Ladislav Lenc and Jiří Martínek and Pavel Král
21th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2022) (2022)
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Neural Networks | Image Processing
How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?
Josef Baloun and Pavel Král and Ladislav Lenc
Agents and Artificial Intelligence, Revised Selected Papers, 13th International Conference, ICAART 2021 (2022)
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Neural Networks | Image Processing
Well-calibrated confidence measures for multi-label text classification with a large number of labels
Lysimachos Maltoudoglou and Andreas Paisios and Ladislav Lenc and Jiří Martínek and Pavel Král and Harris Papadopoulos
Pattern Recognition (2022)
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Document Classification | Neural Networks
Linear Transformations for Cross-lingual Sentiment Analysis
Pavel Přibáň and Jakub Šmíd and Pavel Král
TSD (2022)
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Sentiment Analysis | Neural Networks
Multilingual Coreference Resolution with Harmonized Annotations
Ondřej Pražák and Miloslav Konopík and Jakub Sido
RANLP (2021)
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Language Modeling | Neural Networks
ICDAR 2021 Competition on Historical Map Segmentation
Josef Baloun and Ladislav Lenc and Pavel Král
ICDAR 2021 (2021)
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Neural Networks | Image Processing
Transfer learning for Czech Historical Named Entity Recognition
Helena Hubková and Pavel Král
Recent Advances in Natural Language Processing (2021)
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Neural Networks | Named Entity Recognition
Evaluation Datasets for Cross-lingual Semantic Textual Similarity
Tomáš Hercig and Pavel Král
Recent Advances in Natural Language Processing (2021)
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Semantic Analysis | Neural Networks
Cross-Lingual Approaches for Task-Specific Dialogue Act Recognition
Jiří Martínek and Christophe Cerisara and Pavel Král and Ladislav Lenc
17th International Conference on Artificial Intelligence Applications and Innovations (2021)
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Dialogue Act Recognition | Neural Networks
ChronSeg: Novel Dataset for Segmentation of Handwritten Historical Chronicles
Josef Baloun and Pavel Král and Ladislav Lenc
13th International Conference on Agents and Artificial Intelligence (2021)
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Neural Networks | Image Processing
Dialogue Act Recognition Using Visual Information
Jiří Martínek and Pavel Král and Ladislav Lenc
International Conference on Document Analysis and Recognition - ICDAR 2021 (2021)
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Dialogue Act Recognition | Neural Networks | Image Processing
Border Detection for Seamless Connection of Historical Cadastral Maps
Ladislav Lenc and Martin Prantl and Jiří Martínek and Pavel Král
16th International Conference on Document Analysis and Recognition (ICDAR 2021) - Workshop on Graphics Recognition (GREC) (2021)
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Neural Networks | Image Processing
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages
Pavel Přibáň and Josef Steinberger
BSNLP (2021)
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Neural Networks | Named Entity Recognition
UWB@ DIACR-ita: Lexical semantic change detection with CCA and orthogonal transformation
Ondřej Pražák and Pavel Přibáň and Stephen Taylor
DIACR-Ita (2021)
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Semantic Analysis | Neural Networks
On Injecting Entropy-Like Features into Deep Neural Networks for Content Relevance Assessment
Jakub Sido and Ondřej Pražák and Miloslav Konopík
TPNC (2021)
Neural Networks
Socially Responsible Virtual Assistant for Privacy Protection: Implementing Trustworthy AI
Alžběta Krausová and Miloslav Konopík and Ondřej Pražák and Jakub Sido and Veronika Žolnerčíková and Václav Moravec and Jaromír Volek
ICAIL (2021)
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Neural Networks
Re-Ranking for Writer Identification and Writer Retrieval
Simon Jordan and Mathias Seuret and Pavel Král and Ladislav Lenc and Jiří Martínek and Barbara Wiermann and Tobias Schwinger and Andreas Maier and Vincent Christlein
14th IAPR International Workshop on Document Analysis Systems (2020)
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Neural Networks | Image Processing
Improving Face Recognition Methods based on POEM Features
Ladislav Lenc and Pavel Král
12th International Conference on Agents and Artificial Intelligence (2020)
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Neural Networks | Image Processing
Building an efficient OCR system for historical documents with little training data
Jiří Martínek and Ladislav Lenc and Pavel Král
Neural Computing and Applications (2020)
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Neural Networks | Image Processing
HDPA: Historical document processing and analysis framework
Ladislav Lenc and Jiří Martínek and Pavel Král and Vincent Christlein
Evolving Systems (2020)
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Neural Networks | Image Processing
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
Jiří Martínek and Pavel Král and Ladislav Lenc and Christophe Cerisara
Interspeech 2019 (2019)
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Dialogue Act Recognition | Neural Networks
Tools for Semi-automatic Preparation of Training Data for OCR
Ladislav Lenc and Jiří Martínek and Pavel Král
Artificial Intelligence Applications and Innovations (2019)
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Neural Networks
Deep Generalized Max Pooling
Vincent Christlein and Anguelos Nicolaou and Pavel Král
15th International Conference on Document Analysis and Recognition (ICDAR 2019) (2019)
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Neural Networks
Hybrid Training Data for Historical Text OCR
Jiří Martínek and Ladislav Lenc and Pavel Král and Anguelos Nicolaou and Vincent Christlein
15th International Conference on Document Analysis and Recognition (ICDAR 2019) (2019)
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Neural Networks
Neural networks for multi-lingual multi-label document classification
Jiří Martínek and Ladislav Lenc and Pavel Král
27th International Conference on Artificial Neural Networks (ICANN 2018) (2018)
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Document Classification | Neural Networks
Deep Neural Networks for Czech Multi-label Document Classification
Ladislav Lenc and Pavel Král
Computational Linguistics and Intelligent Text Processing (2018)
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Document Classification | Neural Networks
Semantic Space Transformations for Cross-Lingual Document Classification
Jiří Martínek and Ladislav Lenc and Pavel Král
27th International Conference on Artificial Neural Networks (ICANN 2018) (2018)
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Semantic Analysis | Document Classification | Neural Networks


Contact Us
NLP group
nlp@mail.kiv.zcu.cz
Department of Computer Science and Engineering
University of West Bohemia
Univerzitni 8
306 14 Plzen
Czech Republic
We offer
  • Technology for use in your product innovation projects
  • Processing test studies
  • System design based on our algorithm and our know-how
  • Licensing of the resulting system
  • More than 12 years cooperation with foreign institutions and firms
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