Effective natural language parsing with probabilistic grammars. - Pawel Skórzewski (IMCSIT, 2010)

Automated Normalization and Analysis of Historical Texts. - Pawel Skórzewski; Krzysztof Jassem; Filip Gralinski (LCT, 2017)

EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development. - Marek Kubis; Pawel Skórzewski; Tomasz Zietkiewicz (SemEval@ACL, 2017)

Using Book Dialogues to Extract Emotions from Texts. - Pawel Skórzewski (LCT, 2019)

Noetic end-to-end response selection with supervised neural network based classifiers and unsupervised similarity models. - Pawel Skórzewski; Weronika Sieinska; Marek Kubis (Comput. Speech Lang., 2020)

Part-of-Speech Models Compression Methods for on-Device Grapheme-to-Phoneme Conversion. - Marek Kubis; Maxime Méloux; Pawel Skórzewski; Marcin Lewandowski; Gunu Jho; Hyoungmin Park (ICASSP, 2022)

Named Entity Recognition to Detect Criminal Texts on the Web. - Pawel Skórzewski; Mikolaj Pieniowski; Grazyna Demenko (LREC, 2022)

Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors. - Marek Kubis; Pawel Skórzewski; Marcin Sowanski; Tomasz Zietkiewicz (EMNLP, 2023)

Center for Artificial Intelligence Challenge on Conversational AI Correctness. - Marek Kubis; Pawel Skórzewski; Marcin Sowanski; Tomasz Zietkiewicz (FedCSIS, 2023)

Spoken Language Corpora Augmentation with Domain-Specific Voice-Cloned Speech. - Mateusz Czyznikiewicz; Lukasz Bondaruk; Jakub Kubiak; Adam Wiacek; Lukasz Degórski; Marek Kubis; Pawel Skórzewski (FedCSIS, 2024)

POLygraph: Polish Fake News Dataset. - Daniel Dzienisiewicz; Filip Gralinski; Piotr Jablonski; Marek Kubis; Pawel Skórzewski; Piotr Wierzchon (WASSA, 2024)