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Pavel Pribán
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2020 – today
- 2024
- [j3]Ladislav Lenc, Jirí Martínek, Josef Baloun, Pavel Pribán, Martin Prantl, Stephen Eugene Taylor, Pavel Král, Jirí Kylis:
Czech medical coding assistant based on transformer networks. Comput. Biol. Medicine 178: 108672 (2024) - [j2]Pavel Pribán, Jakub Smíd, Josef Steinberger, Adam Mistera:
A comparative study of cross-lingual sentiment analysis. Expert Syst. Appl. 247: 123247 (2024) - [c18]Jakub Smíd, Pavel Pribán, Ondrej Prazák, Pavel Král:
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks. LREC/COLING 2024: 4299-4310 - [c17]Jakub Smíd, Pavel Pribán, Pavel Král:
LLaMA-Based Models for Aspect-Based Sentiment Analysis. WASSA 2024: 63-70 - [c16]Jakub Smíd, Pavel Pribán, Pavel Král:
UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection. WASSA 2024: 483-489 - 2023
- [c15]Pavel Pribán, Josef Baloun, Jirí Martínek, Ladislav Lenc, Martin Prantl, Pavel Král:
Towards Automatic Medical Report Classification in Czech. ICAART (3) 2023: 228-233 - [c14]Pavel Pribán, Ondrej Prazák:
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model. RANLP 2023: 888-897 - [c13]Jakub Smíd, Pavel Pribán:
Prompt-Based Approach for Czech Sentiment Analysis. RANLP 2023: 1110-1120 - [i7]Pavel Pribán, Ondrej Prazák:
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model. CoRR abs/2307.14785 (2023) - 2022
- [c12]Pavel Pribán, Josef Steinberger:
Czech Dataset for Cross-lingual Subjectivity Classification. LREC 2022: 1381-1391 - [c11]Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král:
Linear Transformations for Cross-lingual Sentiment Analysis. TSD 2022: 125-137 - [i6]Pavel Pribán, Josef Steinberger:
Czech Dataset for Cross-lingual Subjectivity Classification. CoRR abs/2204.13915 (2022) - [i5]Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král:
Linear Transformations for Cross-lingual Sentiment Analysis. CoRR abs/2209.07244 (2022) - 2021
- [j1]Stephen Taylor, Pavel Pribán, Ondrej Prazák:
CompareWords: Measuring semantic change in word usage in different corpora. Softw. Impacts 8: 100067 (2021) - [c10]Pavel Pribán, Josef Steinberger:
Are the Multilingual Models Better? Improving Czech Sentiment with Transformers. RANLP 2021: 1138-1149 - [c9]Jakub Sido, Ondrej Prazák, Pavel Pribán, Jan Pasek, Michal Seják, Miloslav Konopík:
Czert - Czech BERT-like Model for Language Representation. RANLP 2021: 1326-1338 - [i4]Jakub Sido, Ondrej Prazák, Pavel Pribán, Jan Pasek, Michal Seják, Miloslav Konopík:
Czert - Czech BERT-like Model for Language Representation. CoRR abs/2103.13031 (2021) - [i3]Pavel Pribán, Josef Steinberger:
Are the Multilingual Models Better? Improving Czech Sentiment with Transformers. CoRR abs/2108.10640 (2021) - 2020
- [c8]Ondrej Prazák, Pavel Pribán, Stephen Taylor:
UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation. EVALITA 2020 - [c7]Ondrej Prazák, Pavel Pribán, Stephen Taylor, Jakub Sido:
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection. SemEval@COLING 2020: 246-254 - [i2]Ondrej Prazák, Pavel Pribán, Stephen Taylor:
UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation. CoRR abs/2011.14678 (2020) - [i1]Ondrej Prazák, Pavel Pribán, Stephen Taylor, Jakub Sido:
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection. CoRR abs/2012.00004 (2020)
2010 – 2019
- 2019
- [c6]Jakub Piskorski, Laska Laskova, Michal Marcinczuk, Lidia Pivovarova, Pavel Pribán, Josef Steinberger, Roman Yangarber:
The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages. BSNLP@ACL 2019: 63-74 - [c5]Pavel Pribán, Alexandra Balahur:
Comparative Analyses of Multilingual Sentiment Analysis Systems for News and Social Media. CICLing (2) 2019: 260-279 - [c4]Pavel Pribán, Tomás Hercig, Josef Steinberger:
Machine Learning Approach to Fact-Checking in West Slavic Languages. RANLP 2019: 973-979 - [c3]Pavel Pribán, Stephen Taylor:
ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects. WANLP@ACL 2019 2019: 208-213 - 2018
- [c2]Pavel Pribán, Tomás Hercig, Ladislav Lenc:
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets. SemEval@NAACL-HLT 2018: 133-140 - [c1]Pavel Pribán, Jirí Martínek:
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network. WASSA@EMNLP 2018: 224-230
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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