Czech news dataset for semantic textual similarity
Jakub Sido and Ondřej Pražák and Miloslav Konopík and Václav MoravecLanguage Resources and Evaluation (2024)
Semantic Analysis
Ing. Miloslav Konopík, Ph.D.
Researcher
konopik@kiv.zcu.cztel: +420377632418 Miloslav Konopik graduated with honours from the University of West Bohemia in computer science in Czech Republic in 2004 and obtained the Ph.D. at the same University in 2009. He has been working as a researcher at University of West Bohemia since 2005 as a member of the LICS team. Miloslav is an author or co-author of more than twenty scientific publications. His research is aimed at automatic semantic analysis of spoken and written data. He is also interested in the semantic web ideas.
Publications
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
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
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
Evaluating Attribution Methods for Explainable NLP with Transformers
Vojtěch Bartička and Ondřej Pražák and Miloslav Konopík and Jakub SidoTSD (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 PražákRANLP (2022)
Language Modeling | 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
English Dataset for Automatic Forum Extraction
Jakub Sido and Miloslav Konopík and Ondřej PražákComputación y Sistemas (2019)
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
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
UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks
Miloslav Konopík and Tomáš Brychcín and Ondřej Pražák and David SteinbergerProceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (2016)
Segment Representations in Named Entity Recognition
Michal Konkol and Miloslav KonopíkText, Speech, and Dialogue (2015)
Named Entity Recognition
Latent semantics in language models
Tomáš Brychcín and Miloslav KonopíkComputer Speech & Language (2015)
Semantic Analysis | Language Modeling
HPS: High precision stemmer
Tomáš Brychcín and Miloslav KonopíkInformation Processing & Management (2015)
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
Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches
Michal Konkol and Miloslav KonopíkText, Speech and Dialogue (2014)
Named Entity Recognition
Semantic spaces for improving language modeling
Tomáš Brychcín and Miloslav KonopíkComputer Speech & Language (2014)
Semantic Analysis | Language Modeling
CRF-based Czech Named Entity Recognizer and Consolidation of Czech NER Research
Michal Konkol and Miloslav KonopíkText, Speech and Dialogue (2013)
Named Entity Recognition
SWSNL: Semantic Web Search Using Natural Language
Ivan Habernal and Miloslav KonopíkExpert Systems with Applications (2013)
Semantic Analysis
Maximum Entropy Named Entity Recognition for Czech Language
Michal Konkol and Miloslav KonopíkText, Speech and Dialogue (2011)
Named Entity Recognition
Morphological Based Language Models for Inflectional Languages
Tomáš Brychcín and Miloslav KonopíkProceedings of IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems (2011)
Language Modeling
