Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges
Jakub Šmíd and Pavel KrálInformation Fusion (2025)
Sentiment Analysis | Neural Networks
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
Large Language Models for Summarizing Czech Historical Documents and Beyond
Jakub Šmíd and Jiří Martínek and Ladislav Lenc and Pavel Král17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART (2025)
Summarization | Neural Networks
Advancing Cross-Lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
Jakub Šmíd and Pavel Přibáň and Pavel KrálProceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART (2025)
Sentiment Analysis | Neural Networks
Kernel Least Squares Transformations for Cross-lingual Semantic Spaces
Adam Mištera and Tomáš BrychcínText, Speech, and Dialogue (2024)
Semantic Analysis | Language Modeling | 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 KrálComputers in Biology and Medicine (2024)
Language Modeling | Document Classification | Neural Networks
UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection
Jakub Šmíd and Pavel Přibáň and Pavel KrálProceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA 2024) (2024)
Sentiment Analysis | Document Classification | Neural Networks
LLaMA-Based Models for Aspect-Based Sentiment Analysis
Jakub Šmíd and Pavel Přibáň and Pavel KrálProceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA 2024) (2024)
Sentiment Analysis | Neural Networks
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
Jakub Šmíd and Pavel Přibáň and Ondřej Pražák and Pavel KrálLREC-COLING 2024 (2024)
Sentiment Analysis | Neural Networks
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 ZemanCRAC 2023 Shared Task on Multilingual Coreference Resolution (2023)
Neural Networks
Towards Automatic Medical Report Classification in Czech
Pavel Přibáň and Josef Baloun and Jiří Martínek and Ladislav Lenc and Pavel Král15th International Conference on Agents and Artificial Intelligence (ICAART 2023) (2023)
Language Modeling | Document Classification | Neural Networks
Prompt-Based Approach for Czech Sentiment Analysis
Jakub Šmíd and Pavel PřibáňRANLP 2023 (2023)
Sentiment Analysis | Neural Networks
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain
Jan Pašek and Jakub Sido and Miloslav Konopík and Ondřej PražákRANLP (2022)
Language Modeling | Neural Networks
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 PapadopoulosPattern Recognition (2022)
Document Classification | Neural Networks
Historical Map Toponym Extraction for Efficient Information Retrieval
Ladislav Lenc and Jiří Martínek and Josef Baloun and Martin Prantl and Pavel Král15th IAPR International Workshop on Document Analysis Systems (2022)
Neural Networks | Image Processing
Text Line Segmentation in Historical Newspapers
Ladislav Lenc and Jiří Martínek and Pavel Král21th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2022) (2022)
Neural Networks | Image Processing
How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?
Josef Baloun and Pavel Král and Ladislav LencAgents and Artificial Intelligence, Revised Selected Papers, 13th International Conference, ICAART 2021 (2022)
Neural Networks | Image Processing
Weak supervision for Question Type Detection with large language models
Jiří Martínek and Christophe Cerisara and Pavel Král and Ladislav Lenc and Josef BalounInterspeech (2022)
Language Modeling | Dialogue Act Recognition | Neural Networks
Evaluating Attribution Methods for Explainable NLP with Transformers
Vojtěch Bartička and Ondřej Pražák and Miloslav Konopík and Jakub SidoTSD (2022)
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 ZhuCRAC (2022)
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 VolekICAIL (2021)
Neural Networks
Dialogue Act Recognition Using Visual Information
Jiří Martínek and Pavel Král and Ladislav LencInternational Conference on Document Analysis and Recognition - ICDAR 2021 (2021)
Dialogue Act Recognition | Neural Networks | Image Processing
ChronSeg: Novel Dataset for Segmentation of Handwritten Historical Chronicles
Josef Baloun and Pavel Král and Ladislav Lenc13th International Conference on Agents and Artificial Intelligence (2021)
Neural Networks | Image Processing
Cross-Lingual Approaches for Task-Specific Dialogue Act Recognition
Jiří Martínek and Christophe Cerisara and Pavel Král and Ladislav Lenc17th International Conference on Artificial Intelligence Applications and Innovations (2021)
Dialogue Act Recognition | Neural Networks
Evaluation Datasets for Cross-lingual Semantic Textual Similarity
Tomáš Hercig and Pavel KrálRecent Advances in Natural Language Processing (2021)
Semantic Analysis | Neural Networks
Transfer learning for Czech Historical Named Entity Recognition
Helena Hubková and Pavel KrálRecent Advances in Natural Language Processing (2021)
Neural Networks | Named Entity Recognition
ICDAR 2021 Competition on Historical Map Segmentation
Josef Baloun and Ladislav Lenc and Pavel KrálICDAR 2021 (2021)
Neural Networks | Image Processing
Border Detection for Seamless Connection of Historical Cadastral Maps
Ladislav Lenc and Martin Prantl and Jiří Martínek and Pavel Král16th International Conference on Document Analysis and Recognition (ICDAR 2021) - Workshop on Graphics Recognition (GREC) (2021)
Neural Networks | Image Processing
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 Christlein14th IAPR International Workshop on Document Analysis Systems (2020)
Neural Networks | Image Processing
Improving Face Recognition Methods based on POEM Features
Ladislav Lenc and Pavel Král12th International Conference on Agents and Artificial Intelligence (2020)
Neural Networks | Image Processing
Building an efficient OCR system for historical documents with little training data
Jiří Martínek and Ladislav Lenc and Pavel KrálNeural Computing and Applications (2020)
Neural Networks | Image Processing
HDPA: Historical document processing and analysis framework
Ladislav Lenc and Jiří Martínek and Pavel Král and Vincent ChristleinEvolving Systems (2020)
Neural Networks | Image Processing
Hybrid Training Data for Historical Text OCR
Jiří Martínek and Ladislav Lenc and Pavel Král and Anguelos Nicolaou and Vincent Christlein15th International Conference on Document Analysis and Recognition (ICDAR 2019) (2019)
Neural Networks
Tools for Semi-automatic Preparation of Training Data for OCR
Ladislav Lenc and Jiří Martínek and Pavel KrálArtificial Intelligence Applications and Innovations (2019)
Neural Networks
Multi-Lingual Dialogue Act Recognition with Deep Learning Methods
Jiří Martínek and Pavel Král and Ladislav Lenc and Christophe CerisaraInterspeech 2019 (2019)
Dialogue Act Recognition | Neural Networks
Deep Generalized Max Pooling
Vincent Christlein and Anguelos Nicolaou and Pavel Král15th International Conference on Document Analysis and Recognition (ICDAR 2019) (2019)
Neural Networks
Semantic Space Transformations for Cross-Lingual Document Classification
Jiří Martínek and Ladislav Lenc and Pavel Král27th International Conference on Artificial Neural Networks (ICANN 2018) (2018)
Semantic Analysis | Document Classification | Neural Networks
Neural networks for multi-lingual multi-label document classification
Jiří Martínek and Ladislav Lenc and Pavel Král27th International Conference on Artificial Neural Networks (ICANN 2018) (2018)
Document Classification | Neural Networks
Deep Neural Networks for Czech Multi-label Document Classification
Ladislav Lenc and Pavel KrálComputational Linguistics and Intelligent Text Processing (2018)
Document Classification | Neural Networks
