| Czert--Czech BERT-like Model for Language Representation J Sido, O Pražák, P Přibáň, J Pašek, M Seják, M Konopík arXiv preprint arXiv:2103.13031, 2021 | 61 | 2021 |
| The second cross-lingual challenge on recognition, normalization, classification, and linking of named entities across Slavic languages J Piskorski, L Laskova, M Marcinczuk, L Pivovarova, P Přibáň, ... Association for Computational Linguistics (ACL), 2019 | 44 | 2019 |
| UWB at SemEval-2020 task 1: Lexical semantic change detection O Pražák, P Přibáň, S Taylor, J Sido arXiv preprint arXiv:2012.00004, 2020 | 32 | 2020 |
| Slav-NER: the 3rd cross-lingual challenge on recognition, normalization, classification, and linking of named entities across Slavic languages J Piskorski, B Babych, Z Kancheva, O Kanishcheva, M Lebedeva, ... The Association for Computational Linguistics, 2021 | 21 | 2021 |
| Machine learning approach to fact-checking in West Slavic languages P Přibáň, T Hercig, J Steinberger Proceedings of the international conference on recent advances in natural …, 2019 | 18 | 2019 |
| Are the multilingual models better? improving Czech sentiment with transformers P Přibáň, J Steinberger arXiv preprint arXiv:2108.10640, 2021 | 13 | 2021 |
| A comparative study of cross-lingual sentiment analysis P Přibáň, J Šmíd, J Steinberger, A Mištera Expert Systems with Applications 247, 123247, 2024 | 10 | 2024 |
| Czech dataset for cross-lingual subjectivity classification P Přibáň, J Steinberger arXiv preprint arXiv:2204.13915, 2022 | 9 | 2022 |
| UWB@ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation O Pražák, P Přibáň, S Taylor arXiv preprint arXiv:2011.14678, 2020 | 9 | 2020 |
| Zcu-nlp at madar 2019: Recognizing arabic dialects P Přibáň, S Taylor Proceedings of the Fourth Arabic Natural Language Processing Workshop, 208-213, 2019 | 8 | 2019 |
| Uwb at semeval-2018 task 1: Emotion intensity detection in tweets P Přibáň, T Hercig, L Lenc Proceedings of the 12th international workshop on semantic evaluation, 133-140, 2018 | 8 | 2018 |
| UWB at IEST 2018: Emotion prediction in tweets with bidirectional long short-term memory neural network P Přibáň, J Martínek Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018 | 6 | 2018 |
| Linear transformations for cross-lingual sentiment analysis P Přibáň, J Šmíd, A Mištera, P Král International Conference on Text, Speech, and Dialogue, 125-137, 2022 | 5 | 2022 |
| Comparative analyses of multilingual sentiment analysis systems for news and social media P Přibáň, A Balahur International Conference on Computational Linguistics and Intelligent Text …, 2019 | 5 | 2019 |
| Improving aspect-based sentiment with end-to-end semantic role labeling model P Přibáň, O Pražák arXiv preprint arXiv:2307.14785, 2023 | 4 | 2023 |
| Towards Automatic Medical Report Classification in Czech. P Pribán, J Baloun, J Martínek, L Lenc, M Prantl, P Král ICAART (3), 228-233, 2023 | 4 | 2023 |
| Prompt-based approach for Czech sentiment analysis J Šmíd, P Přibáň Proceedings of the 14th International Conference on Recent Advances in …, 2023 | 3 | 2023 |
| Slav-NER: the 4th cross-lingual challenge on recognition, normalization, classification, and linking of named entities across Slavic languages R Yangarber, J Piskorski, A Dmitrieva, M Marcińczuk, P Přibáň, P Rybak, ... Workshop on Slavic Natural Language Processing, 179-189, 2023 | 3 | 2023 |
| Multilingual Sentiment Analysis P Přibáň University of West Bohemia in Pilsen, 2020 | 2 | 2020 |
| Czert-Czech BERT-like Model for Language Representation (2021) J Sido, O Pražák, P Přibáň, J Pašek, M Seják, M Konopík Dostupné z, 0 | 2 | |
Josef SteinbergerUniversity of West BohemiaE-mail confirmado em kiv.zcu.cz