no code implementations • 30 May 2022 • Anna Wroblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Cheong Siew Ann, Tan Seng Chee, Tomasz Trzcinski, Janusz Holyst
Artificial Intelligence in higher education opens new possibilities for improving the lecturing process, such as enriching didactic materials, helping in assessing students' works or even providing directions to the teachers on how to enhance the lectures.
no code implementations • 13 Mar 2022 • Weronika Lajewska, Anna Wroblewska
Named entities recognition (NER) and disambiguation (NED) can add semantic context to the recognized named entities in texts.
no code implementations • 15 Dec 2021 • 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 SoftTriple loss.
no code implementations • 13 May 2020 • Anna Wroblewska, Jacek Dabrowski, Michal Pastuszak, Andrzej Michalowski, Michal Daniluk, Barbara Rychalska, Mikolaj Wieczorek, Sylwia Sysko-Romanczuk
Contrary to existing recommendation systems, our platform supports multiple types of interaction data with multiple modalities of metadata natively.
1 code implementation • 9 Mar 2020 • Mikolaj Wieczorek, Andrzej Michalowski, Anna Wroblewska, Jacek Dabrowski
As a result, fashion retrieval is an active field of research both in academia and the industry.
Ranked #1 on Image Retrieval on Exact Street2Shop
no code implementations • WS 2018 • Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek, Anna Wroblewska
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.
no code implementations • 11 Sep 2018 • Dominika Basaj, Barbara Rychalska, Przemyslaw Biecek, Anna Wroblewska
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.