175 citations · 199 across the 9 of their papers we have counts for
9 papers
Does a Technique for Building Multimodal Representation Matter? -- Comparative Analysis
Maciej Pawłowski, Anna Wróblewska, Sylwia Sysko-Romańczuk
Creating a meaningful representation by fusing single modalities (e.g., text, images, or audio) is the core concept of multimodal learning. Although several techniques for building…
A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing
Anna Wroblewska, Jozef Jasek, Bogdan Jastrzebski +6
Artificial Intelligence in higher education opens new possibilities for improving the lecturing process, such as enriching didactic materials, helping in assessing students' works…
ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains
Weronika Lajewska, Anna Wroblewska
Named entities recognition (NER) and disambiguation (NED) can add semantic context to the recognized named entities in texts. Named entity linkage in texts, regardless of a domain,…
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
Witold Sosnowski, Anna Wroblewska, Piotr Gawrysiak
We introduce a new loss function TripleEntropy, to improve classification performance for fine-tuning general knowledge pre-trained language models based on cross-entropy and SoftT…
Multi-modal Embedding Fusion-based Recommender
Anna Wroblewska, Jacek Dabrowski, Michal Pastuszak +5
Recommendation systems have lately been popularized globally, with primary use cases in online interaction systems, with significant focus on e-commerce platforms. We have develope…
A Strong Baseline for Fashion Retrieval with Person Re-Identification Models
Mikolaj Wieczorek, Andrzej Michalowski, Anna Wroblewska +1
Fashion retrieval is the challenging task of finding an exact match for fashion items contained within an image. Difficulties arise from the fine-grained nature of clothing items,…
Named Entity Recognition -- Is there a glass ceiling?
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka +2
Recent developments in Named Entity Recognition (NER) have resulted in better and better models. However, is there a glass ceiling? Do we know which types of errors are still hard…
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek +1
In this paper we present the results of an investigation of the importance of verbs in a deep learning QA system trained on SQuAD dataset. We show that main verbs in questions carr…
How much should you ask? On the question structure in QA systems
Dominika Basaj, Barbara Rychalska, Przemyslaw Biecek +1
Datasets that boosted state-of-the-art solutions for Question Answering (QA) systems prove that it is possible to ask questions in natural language manner. However, users are still…