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Pawel Skórzewski
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2020 – today
- 2024
- [c10]Mateusz Czyznikiewicz, Lukasz Bondaruk, Jakub Kubiak, Adam Wiacek, Lukasz Degórski, Marek Kubis, Pawel Skórzewski:
Spoken Language Corpora Augmentation with Domain-Specific Voice-Cloned Speech. FedCSIS 2024: 579-584 - [c9]Daniel Dzienisiewicz, Filip Gralinski, Piotr Jablonski, Marek Kubis, Pawel Skórzewski, Piotr Wierzchon:
POLygraph: Polish Fake News Dataset. WASSA 2024: 250-263 - [i2]Daniel Dzienisiewicz, Filip Gralinski, Piotr Jablonski, Marek Kubis, Pawel Skórzewski, Piotr Wierzchon:
POLygraph: Polish Fake News Dataset. CoRR abs/2407.01393 (2024) - 2023
- [c8]Marek Kubis, Pawel Skórzewski, Marcin Sowanski, Tomasz Zietkiewicz:
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. EMNLP 2023: 11824-11835 - [c7]Marek Kubis, Pawel Skórzewski, Marcin Sowanski, Tomasz Zietkiewicz:
Center for Artificial Intelligence Challenge on Conversational AI Correctness. FedCSIS 2023: 1319-1324 - [i1]Marek Kubis, Pawel Skórzewski, Marcin Sowanski, Tomasz Zietkiewicz:
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. CoRR abs/2310.16609 (2023) - 2022
- [c6]Marek Kubis, Maxime Méloux, Pawel Skórzewski, Marcin Lewandowski, Gunu Jho, Hyoungmin Park:
Part-of-Speech Models Compression Methods for on-Device Grapheme-to-Phoneme Conversion. ICASSP 2022: 7117-7121 - [c5]Pawel Skórzewski, Mikolaj Pieniowski, Grazyna Demenko:
Named Entity Recognition to Detect Criminal Texts on the Web. LREC 2022: 6223-6231 - 2020
- [j1]Pawel Skórzewski, Weronika Sieinska, Marek Kubis:
Noetic end-to-end response selection with supervised neural network based classifiers and unsupervised similarity models. Comput. Speech Lang. 62: 101074 (2020)
2010 – 2019
- 2019
- [c4]Pawel Skórzewski:
Using Book Dialogues to Extract Emotions from Texts. LCT 2019: 244-255 - 2017
- [c3]Pawel Skórzewski, Krzysztof Jassem, Filip Gralinski:
Automated Normalization and Analysis of Historical Texts. LCT 2017: 73-86 - [c2]Marek Kubis, Pawel Skórzewski, Tomasz Zietkiewicz:
EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development. SemEval@ACL 2017: 1000-1004 - 2010
- [c1]Pawel Skórzewski:
Effective natural language parsing with probabilistic grammars. IMCSIT 2010: 501-504
Coauthor Index
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