Követés
Pavel Přibáň
Pavel Přibáň
E-mail megerősítve itt: kiv.zcu.cz
Cím
Hivatkozott rá
Hivatkozott rá
Év
Czert--Czech BERT-like Model for Language Representation
J Sido, O Praľák, P Přibáň, J Paąek, M Seják, M Konopík
arXiv preprint arXiv:2103.13031, 2021
642021
The second cross-lingual challenge on recognition, normalization, classification, and linking of named entities across Slavic languages
J Piskorski, L Laskova, M Marcińczuk, L Pivovarova, P Přibáň, ...
Workshop onBalto-Slavic Natural Language Processing, 63-74, 2019
442019
UWB at SemEval-2020 task 1: Lexical semantic change detection
O Praľák, P Přibáň, S Taylor, J Sido
arXiv preprint arXiv:2012.00004, 2020
322020
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
212021
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
182019
A comparative study of cross-lingual sentiment analysis
P Přibáň, J ©míd, J Steinberger, A Miątera
Expert Systems with Applications 247, 123247, 2024
142024
Are the multilingual models better? improving Czech sentiment with transformers
P Přibáň, J Steinberger
arXiv preprint arXiv:2108.10640, 2021
142021
Czech dataset for cross-lingual subjectivity classification
P Přibáň, J Steinberger
arXiv preprint arXiv:2204.13915, 2022
102022
UWB@ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation
O Praľák, P Přibáň, S Taylor
arXiv preprint arXiv:2011.14678, 2020
92020
Zcu-nlp at madar 2019: Recognizing arabic dialects
P Přibáň, S Taylor
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 208-213, 2019
82019
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
82018
Linear transformations for cross-lingual sentiment analysis
P Přibáň, J ©míd, A Miątera, P Král
International Conference on Text, Speech, and Dialogue, 125-137, 2022
72022
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
62018
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
52019
Improving aspect-based sentiment with end-to-end semantic role labeling model
P Přibáň, O Praľák
arXiv preprint arXiv:2307.14785, 2023
42023
Towards Automatic Medical Report Classification in Czech.
P Pribán, J Baloun, J Martínek, L Lenc, M Prantl, P Král
ICAART (3), 228-233, 2023
42023
Prompt-based approach for Czech sentiment analysis
J ©míd, P Přibáň
Proceedings of the 14th International Conference on Recent Advances in …, 2023
32023
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
32023
LLaMA-Based Models for Aspect-Based Sentiment Analysis
J ©míd, P Přibáň, P Král
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity …, 2024
22024
CompareWords: Measuring semantic change in word usage in different corpora
S Taylor, P Přibáň, O Praľák
Software Impacts 8, 100067, 2021
22021
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