Search Results for author: Anna Wroblewska

Found 7 papers, 1 papers with code

A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing

no code implementations30 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.

ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains

no code implementations13 Mar 2022 Weronika Lajewska, Anna Wroblewska

Named entities recognition (NER) and disambiguation (NED) can add semantic context to the recognized named entities in texts.


Applying SoftTriple Loss for Supervised Language Model Fine Tuning

no code implementations15 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.

General Knowledge Language Modelling

Multi-modal Embedding Fusion-based Recommender

no code implementations13 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.

Recommendation Systems

How much should you ask? On the question structure in QA systems

no code implementations11 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.

Question Answering

Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System

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.

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