Multilingual entity and relation extraction dataset and model

A Seganti, K Firląg, H Skowronska… - Proceedings of the …, 2021 - aclanthology.org
We present a novel dataset and model for a multilingual setting to approach the task of Joint
Entity and Relation Extraction. The SMiLER dataset consists of 1.1 M annotated sentences, …

SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection

M Satława, K Zamłyńska, J Piersa, J Kolis… - Proceedings of the …, 2021 - aclanthology.org
This paper presents a system used for SemEval-2021 Task 5: Toxic Spans Detection. Our
system is an ensemble of BERT-based models for binary word classification, trained on a …

Proces Galtona-Watsona

M Satława - 2020 - ruj.uj.edu.pl
Proces Galtona-Watsona jest łańcuchem Markowa powstałym w celu modelowania zanikania
nazwisk. W pracy przedstawiono podstawowe parametry jego rozkładu oraz metodę …

Noninvasive estimation of mean pulmonary artery pressure using mri, computer models, and machine learning

MK Grzeszczyk, T Satława, A Lungu, A Swift… - International Conference …, 2022 - Springer
Pulmonary Hypertension (PH) is a severe disease characterized by an elevated pulmonary
artery pressure. The gold standard for PH diagnosis is measurement of mean Pulmonary …

[PDF][PDF] Structural pre-training improves physical accuracy of antibody structure

J Kończak, B Janusz, J Młokosiewicz… - Frontiers in …, 1986 - scholar.archive.org
Protein folding problem obtained a practical solution recently, owing to advances in deep
learning. There are classes of proteins though, such as antibodies, that are structurally unique, …

Applications of Artificial Intelligence and Machine Learning toward Antibody Discovery and Development

A Rouyan, P Dudzic, W Wilman, T Satława… - Biopharmaceutical …, 2025 - taylorfrancis.com
Computational antibody design already employs established bioinformatic methods such as
homology modeling, protein-protein docking, and protein interface prediction. …

Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training

X Ju, D Zhang, S Zhu, J Li, S Li, G Zhou - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
This paper presents our pioneering effort in addressing a new and realistic scenario in multi-modal
dialogue systems called Multi-modal Real-time Emotion Pre-recognition in …

Comparison of the Real-Driving Emissions (RDE) of a Gasoline Direct Injection (GDI) Vehicle at Different Routes in Europe

B Giechaskiel, V Valverde, A Melas, M Clairotte… - Energies, 2024 - mdpi.com
On-road real-driving emissions (RDE) tests with portable emissions measurement systems (PEMS)
are part of the vehicle emissions regulations in the European Union (EU). For a given …

Unipsda: Unsupervised pseudo semantic data augmentation for zero-shot cross-lingual natural language understanding

D Li, T Zhang, J Deng, L Huang, C Wang, X He… - arXiv preprint arXiv …, 2024 - arxiv.org
Cross-lingual representation learning transfers knowledge from resource-rich data to
resource-scarce ones to improve the semantic understanding abilities of different languages. …

EDeR: A Dataset for Exploring Dependency Relations Between Events

R Li, P Haslum, L Cui - arXiv preprint arXiv:2304.01612, 2023 - arxiv.org
Relation extraction is a central task in natural language processing (NLP) and information
retrieval (IR) research. We argue that an important type of relation not explored in NLP or IR …