Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
Ondřej Pražák and Miloslav Konopík and Pavel KrálComputing and Informatics (2026)
Semantic Analysis | Neural Networks | Artificial Intelligence
Semantic Analysis
Semantic analysis serves as the essential part of our research. We develope algorithms trying to discover hidden relationships between words and text spans according to words distribution in the corpora. Until now, we have successfully used this research in many areas (e.g. to improve the Language modeling, Named entity recognition, Sentiment analysis, Document classification, etc.).
Publications
Generative Multilingual Coreference Resolution at CRAC 2026
Jakub Hejman and Ondřej Pražák and Miloslav KonopíkProceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026) (2026)
Semantic Analysis | Neural Networks | Artificial Intelligence
Findings of the fifth shared task on multilingual coreference resolution: Expanding datasets for long-range entities
Michal Novak and Miloslav Konopík and Anna Nedoluzhko and Martin Popel and Ondřej Pražák and Jakub Sido and Zdenek Žabokrtský and Daniel ZemanProceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026) (2026)
Semantic Analysis | Neural Networks | Artificial Intelligence
Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?
Michal Novak and Miloslav Konopík and Anna Nedoluzhko and Martin Popel and Ondřej Pražák and Jakub Sido and Zdenek ŽabokrtskýProceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference (2025)
Semantic Analysis | Artificial Intelligence
Abilities of Contrastive Soft Prompting for Open Domain Rhetorical Question Detection
Josef Baloun and Jiří Martínek and Christophe Cerisara and Pavel KrálComputing and Informatics (2025)
Semantic Analysis | Neural Networks | Artificial Intelligence
Enhancing Masked Language Modeling in BERT Models Using Pretrained Static Embeddings
Adam Mištera and Pavel KrálInternational Conference on Text, Speech, and Dialogue (2025)
Semantic Analysis | Neural Networks | Artificial Intelligence
Fine-Tuned Llama for Multilingual Text-to-Text Coreference Resolution
Jakub Hejman and Ondřej Pražák and Miloslav KonopíkProceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference (2025)
Semantic Analysis | Neural Networks | Artificial Intelligence
Czech news dataset for semantic textual similarity
Jakub Sido and Ondřej Pražák and Miloslav Konopík and Václav MoravecLanguage Resources and Evaluation (2024)
Semantic Analysis
Kernel Least Squares Transformations for Cross-lingual Semantic Spaces
Adam Mištera and Tomáš BrychcínText, Speech, and Dialogue (2024)
Semantic Analysis | Language Modeling | Neural Networks
Findings of the Third Shared Task on Multilingual Coreference Resolution
Michal Novak and Miloslav Konopík and Ondřej Pražák and Martin Popel and Jakub SidoProceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference (2024)
Semantic Analysis | Neural Networks | Artificial Intelligence
End-to-end Multilingual Coreference Resolution with Headword Mention Representation
Ondřej Pražák and Miloslav KonopíkProceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference (2024)
Semantic Analysis | Neural Networks | Artificial Intelligence
Evaluation Datasets for Cross-lingual Semantic Textual Similarity
Tomáš Hercig and Pavel KrálRecent Advances in Natural Language Processing (2021)
Semantic Analysis | Neural Networks
On the effects of using word2vec representations in neural networks for dialogue act recognition
Christophe Cerisara and Pavel Král and Ladislav LencComputer Speech and Language (2018)
Semantic Analysis
UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions
Tomáš Brychcín and Tomáš Hercig and Josef Steinberger and Michal KonkolProceedings of The 12th International Workshop on Semantic Evaluation (2018)
Semantic Analysis
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
Data Harvesting and Event Detection from Czech Twitter
Václav Rajtmajer and Pavel KrálAgents and Artificial Intelligence (2018)
Semantic Analysis
Cross-Lingual SRL Based upon Universal Dependencies
Ondřej Pražák and Miloslav KonopíkProceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (2017)
Semantic Analysis
Unsupervised Dialogue Act Induction using Gaussian Mixtures
Tomáš Brychcín and Pavel KrálProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers (2017)
Semantic Analysis | Dialogue Act Recognition
Czech Dataset for Semantic Similarity and Relatedness
Miloslav Konopík and Ondřej Pražák and David SteinbergerProceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (2017)
Semantic Analysis
Latent Tree Language Model
Tomáš BrychcínProceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (2016)
Semantic Analysis | Language Modeling
Latent semantics in Named Entity Recognition
Michal Konkol and Tomáš Brychcín and Miloslav KonopíkExpert Systems with Applications (2015)
Semantic Analysis | Named Entity Recognition
Semantic Features for Dialogue Act Recognition
Pavel Král and Ladislav Lenc and Christophe Cerisara3rd International Conference on Statistical Language and Speech Processing (SLSP 2015) (2015)
Semantic Analysis | Language Modeling
HPS: High precision stemmer
Tomáš Brychcín and Miloslav KonopíkInformation Processing & Management (2015)
Semantic Analysis | Language Modeling
Latent semantics in language models
Tomáš Brychcín and Miloslav KonopíkComputer Speech & Language (2015)
Semantic Analysis | Language Modeling
UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis
Tomáš Brychcín and Michal Konkol and Josef SteinbergerProceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (2014)
Semantic Analysis | Sentiment Analysis | Named Entity Recognition
Exploration of Document Classification with Linked Data and PageRank
Michal NyklIntelligent Distributed Computing VII (2014)
Semantic Analysis | Document Classification
Semantic analysis of software specifications with Linked Data
Michal NyklJournal of Theoretical and Applied Information Technology (2014)
Semantic Analysis
Automatic dialogue act recognition with syntactic features
Pavel Král and Christophe CerisaraLanguage Resources and Evaluation (2014)
Semantic Analysis | Language Modeling
Semantic spaces for improving language modeling
Tomáš Brychcín and Miloslav KonopíkComputer Speech & Language (2014)
Semantic Analysis | Language Modeling
Novel Unsupervised Features for Czech Multi-label Document Classification
Tomáš Brychcín and Pavel Král13th Mexican International Conference on Artificial Intelligence (MICAI 2014) (2014)
Semantic Analysis | Document Classification
SWSNL: Semantic Web Search Using Natural Language
Ivan Habernal and Miloslav KonopíkExpert Systems with Applications (2013)
Semantic Analysis
Semantic Spaces for Sentiment Analysis
Ivan Habernal and Tomáš BrychcínText, Speech and Dialogue (2013)
Semantic Analysis | Sentiment Analysis
Cluster labeling with Linked Data
Michal NyklJournal of Theoretical and Applied Information Technology (2013)
Semantic Analysis
Linked Data and PageRank based classification
Michal NyklIADIS International Conference Theory and Practice in Modern Computing 2013 (part of MCCSIS 2013) (2013)
Semantic Analysis | Document Classification
