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, …
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 …
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 …
nazwisk. W pracy przedstawiono podstawowe parametry jego rozkładu oraz metodę …
Noninvasive estimation of mean pulmonary artery pressure using mri, computer models, and machine learning
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 …
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, …
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. …
homology modeling, protein-protein docking, and protein interface prediction. …
Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training
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 …
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
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 …
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
Cross-lingual representation learning transfers knowledge from resource-rich data to
resource-scarce ones to improve the semantic understanding abilities of different languages. …
resource-scarce ones to improve the semantic understanding abilities of different languages. …
EDeR: A Dataset for Exploring Dependency Relations Between Events
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 …
retrieval (IR) research. We argue that an important type of relation not explored in NLP or IR …