5 citations · 8 across the 7 of their papers we have counts for
7 papers
Improving Object Detection Quality in Football Through Super-Resolution Techniques
Karolina Seweryn, Gabriel Chęć, Szymon Łukasik +1
This study explores the potential of super-resolution techniques in enhancing object detection accuracy in football. Given the sport's fast-paced nature and the critical importance…
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives
Karolina Seweryn, Anna Wróblewska, Szymon Łukasik
Action scene understanding in soccer is a challenging task due to the complex and dynamic nature of the game, as well as the interactions between players. This article provides a c…
Automating the Analysis of Institutional Design in International Agreements
Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn +4
This paper explores the automatic knowledge extraction of formal institutional design - norms, rules, and actors - from international agreements. The focus was to analyze the relat…
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification
Witold Sosnowski, Anna Wróblewska, Karolina Seweryn +1
Distance Metric Learning (DML) has attracted much attention in image processing in recent years. This paper analyzes its impact on supervised fine-tuning language models for Natura…
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning
Witold Sosnowski, Karolina Seweryn, Anna Wróblewska +1
This paper presents an analysis regarding an influence of the Distance Metric Learning (DML) loss functions on the supervised fine-tuning of the language models for classification…
Entity Graph Extraction from Legal Acts -- a Prototype for a Use Case in Policy Design Analysis
Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn +4
This paper presents research on a prototype developed to serve the quantitative study of public policy design. This sub-discipline of political science focuses on identifying actor…
Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks
Daniel Ziembicki, Anna Wróblewska, Karolina Seweryn
Despite recent breakthroughs in Machine Learning for Natural Language Processing, the Natural Language Inference (NLI) problems still constitute a challenge. To this purpose we con…