Curriculum Learning in Sentiment Analysis. - Jakub Sido; Miloslav Konopík (SPECOM, 2019)

English Dataset for Automatic Forum Extraction. - Jakub Sido; Miloslav Konopík; Ondrej Prazák (Computación y Sistemas, 2019)

UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection. - Ondrej Prazák; Pavel Pribán; Stephen Taylor 001; Jakub Sido (SemEval@COLING, 2020)

Socially Responsible Virtual Assistant for Privacy Protection: Implementing Trustworthy AI. - Alzbeta Krausová; Miloslav Konopík; Ondrej Prazák; Jakub Sido; Veronika Zolnercíková; Václav Moravec; Jaromír Volek (XAILA@ICAIL, 2021)

Multilingual Coreference Resolution with Harmonized Annotations. - Ondrej Prazák; Miloslav Konopík; Jakub Sido (RANLP, 2021)

Czert - Czech BERT-like Model for Language Representation. - Jakub Sido; Ondrej Prazák; Pavel Pribán; Jan Pasek; Michal Seják; Miloslav Konopík (RANLP, 2021)

On Injecting Entropy-Like Features into Deep Neural Networks for Content Relevance Assessment. - Jakub Sido; Kamil Ekstein; Ondrej Prazák; Miloslav Konopík (TPNC, 2021)

Evaluating Attribution Methods for Explainable NLP with Transformers. - Vojtech Barticka; Ondrej Prazák; Miloslav Konopík; Jakub Sido (TSD, 2022)

Findings of the Shared Task on Multilingual Coreference Resolution. - Zdenek Zabokrtský; Miloslav Konopík; Anna Nedoluzhko; Michal Novák; Maciej Ogrodniczuk; Martin Popel; Ondrej Prazák; Jakub Sido; Daniel Zeman; Yilun Zhu 001 (CoRR, 2022)

MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain. - Jan Pasek; Jakub Sido; Miloslav Konopík; Ondrej Prazák (RANLP, 2023)

ElectroCardioGuard: Preventing patient misidentification in electrocardiogram databases through neural networks. - Michal Seják; Jakub Sido; David Zahour (Knowl. Based Syst., 2023)

Findings of the Third Shared Task on Multilingual Coreference Resolution. - Michal Novák; Sárka Dohnalová; Miloslav Konopík; Anna Nedoluzhko; Martin Popel; Ondrej Prazák; Jakub Sido; Milan Straka; Zdenek Zabokrtský; Daniel Zeman (CoRR, 2024)

Czech news dataset for semantic textual similarity. - Jakub Sido; Michal Seják; Ondrej Prazák; Miloslav Konopík; Václav Moravec (Lang. Resour. Evaluation, 2025)