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Michał Perełkiewicz
Michał Perełkiewicz
National Information Processing Institute, Warsaw, Poland
Verified email at opi.org.pl
Title
Cited by
Cited by
Year
Pre-training polish transformer-based language models at scale
S Dadas, M Perełkiewicz, R Poświata
Artificial Intelligence and Soft Computing: 19th International Conference …, 2020
512020
OPI@ LT-EDI-ACL2022: Detecting signs of depression from social media text using RoBERTa pre-trained language models
R Poświata, M Perełkiewicz
Proceedings of the Second Workshop on Language Technology for Equality …, 2022
352022
Evaluation of sentence representations in polish
S Dadas, M Perełkiewicz, R Poświata
arXiv preprint arXiv:1910.11834, 2019
112019
Text language identification using attention-based recurrent neural networks
M Perełkiewicz, R Poświata
Artificial Intelligence and Soft Computing: 18th International Conference …, 2019
32019
PIRB: A Comprehensive Benchmark of Polish Dense and Hybrid Text Retrieval Methods
S Dadas, M Perełkiewicz, R Poświata
arXiv preprint arXiv:2402.13350, 2024
22024
Detection of the innovative logotypes on the web pages
M Mirończuk, M Perełkiewicz, J Protasiewicz
Artificial Intelligence and Soft Computing: 16th International Conference …, 2017
22017
Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot
R Poświata, M Perełkiewicz
Proceedings of the 28th International Conference on Computational …, 2020
12020
Numbers Normalisation in the Inflected Languages: a Case Study of Polish
R Poświata, M Perełkiewicz
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing …, 2019
12019
A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models Pre-Training
M Perełkiewicz, R Poświata
arXiv preprint arXiv:2407.07630, 2024
2024
A support system for the detection of abusive clauses in B2C contracts
S Dadas, M Kozłowski, R Poświata, M Perełkiewicz, M Białas, ...
Artificial Intelligence and Law, 1-39, 2024
2024
PL-MTEB: Polish Massive Text Embedding Benchmark
R Poświata, S Dadas, M Perełkiewicz
arXiv preprint arXiv:2405.10138, 2024
2024
Unsupervised Representation Learning: Target Regularization for Cross-domain Sentiment Classification
M Perełkiewicz, R Poswiata, J Kierzkowski
2023
CX-ST-RNM at SemEval-2019 Task 3: Fusion of Recurrent Neural Networks Based on Contextualized and Static Word Representations for Contextual Emotion Detection
M Perełkiewicz
Proceedings of the 13th International Workshop on Semantic Evaluation, 180-184, 2019
2019
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Articles 1–13