Ing. Miloslav Konopík, Ph.D.

member_photo

Researcher

konopik@kiv.zcu.cz

tel: +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 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 Žabokrtský
Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference (2025)
PDF
Semantic Analysis | Artificial Intelligence
Fine-Tuned Llama for Multilingual Text-to-Text Coreference Resolution
Jakub Hejman and Ondřej Pražák and Miloslav Konopík
Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference (2025)
PDF
Semantic Analysis | Neural Networks | Artificial Intelligence
Czech news dataset for semantic textual similarity
Jakub Sido and Ondřej Pražák and Miloslav Konopík and Václav Moravec
Language Resources and Evaluation (2024)
PDF
Semantic Analysis
End-to-end Multilingual Coreference Resolution with Headword Mention Representation
Ondřej Pražák and Miloslav Konopík
Proceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference (2024)
PDF
Semantic Analysis | Neural Networks | Artificial Intelligence
Findings of the Third Shared Task on Multilingual Coreference Resolution
Michal Novak and Miloslav Konopík and Ondřej Pražák and Martin Popel and Jakub Sido
Proceedings of the Seventh Workshop on Computational Models of Reference, Anaphora and Coreference (2024)
PDF
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 Zeman
CRAC 2023 Shared Task on Multilingual Coreference Resolution (2023)
PDF
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)
PDF
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)
PDF
Neural Networks
End-to-end Multilingual Coreference Resolution with Mention Head Prediction
Ondřej Pražák and Miloslav Konopík
CRAC (2022)
PDF
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
Multilingual Coreference Resolution with Harmonized Annotations
Ondřej Pražák and Miloslav Konopík and Jakub Sido
RANLP (2021)
PDF
Language Modeling | 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)
PDF
Neural Networks
Czert – Czech BERT-like Model for Language Representation
Jakub Sido and Ondřej Pražák and Pavel Přibáň and Miloslav Konopík
RANLP (2021)
PDF
Language Modeling | Sentiment Analysis | Document Classification | Named Entity Recognition
English Dataset for Automatic Forum Extraction
Jakub Sido and Miloslav Konopík and Ondřej Pražák
Computación y Sistemas (2019)
PDF
Czech Dataset for Semantic Similarity and Relatedness
Miloslav Konopík and Ondřej Pražák and David Steinberger
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (2017)
PDF
Semantic Analysis
Cross-Lingual SRL Based upon Universal Dependencies
Ondřej Pražák and Miloslav Konopík
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (2017)
PDF
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 Steinberger
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (2016)
PDF
HPS: High precision stemmer
Tomáš Brychcín and Miloslav Konopík
Information Processing & Management (2015)
PDF
Semantic Analysis | Language Modeling
Segment Representations in Named Entity Recognition
Michal Konkol and Miloslav Konopík
Text, Speech, and Dialogue (2015)
PDF
Named Entity Recognition
Latent semantics in Named Entity Recognition
Michal Konkol and Tomáš Brychcín and Miloslav Konopík
Expert Systems with Applications (2015)
PDF
Semantic Analysis | Named Entity Recognition
Latent semantics in language models
Tomáš Brychcín and Miloslav Konopík
Computer Speech & Language (2015)
PDF
Semantic Analysis | Language Modeling
Named Entity Recognition for Highly Inflectional Languages: Effects of Various Lemmatization and Stemming Approaches
Michal Konkol and Miloslav Konopík
Text, Speech and Dialogue (2014)
PDF
Named Entity Recognition
Semantic spaces for improving language modeling
Tomáš Brychcín and Miloslav Konopík
Computer Speech & Language (2014)
PDF
Semantic Analysis | Language Modeling
SWSNL: Semantic Web Search Using Natural Language
Ivan Habernal and Miloslav Konopík
Expert Systems with Applications (2013)
PDF
Semantic Analysis
CRF-based Czech Named Entity Recognizer and Consolidation of Czech NER Research
Michal Konkol and Miloslav Konopík
Text, Speech and Dialogue (2013)
PDF
Named Entity Recognition
Morphological Based Language Models for Inflectional Languages
Tomáš Brychcín and Miloslav Konopík
Proceedings of IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems (2011)
PDF
Language Modeling
Maximum Entropy Named Entity Recognition for Czech Language
Michal Konkol and Miloslav Konopík
Text, Speech and Dialogue (2011)
PDF
Named Entity Recognition


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
  • We are ready for cooperation with you too
Copyright 2021 NLP group. All rights reserved.
Back to Top