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.
no code implementations • WS 2018 • Barbara Rychalska, Dominika Basaj, Anna Wr{\'o}blewska, Przemyslaw Biecek
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.
no code implementations • 30 Apr 2020 • Prathyusha Jwalapuram, Barbara Rychalska, Shafiq Joty, Dominika Basaj
Despite increasing instances of machine translation (MT) systems including contextual information, the evidence for translation quality improvement is sparse, especially for discourse phenomena.
no code implementations • 9 Jun 2020 • Barbara Rychalska, Dominika Basaj, Jacek Dąbrowski, Michał Daniluk
Recently, the Efficient Manifold Density Estimator (EMDE) model has been introduced.
no code implementations • 1 Jan 2021 • Prathyusha Jwalapuram, Barbara Rychalska, Shafiq Joty, Dominika Basaj
Despite increasing instances of machine translation (MT) systems including extrasentential context information, the evidence for translation quality improvement is sparse, especially for discourse phenomena.
1 code implementation • 21 Jun 2021 • Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzciński, Bartosz Zieliński
Motivated by this observation, we introduce a novel visual probing framework for explaining the self-supervised models by leveraging probing tasks employed previously in natural language processing.
1 code implementation • 5 Dec 2018 • Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek
In addition, we have created and published a new dataset that may be used for validation of robustness of a Q&A model.
2 code implementations • 2 Jun 2020 • Jacek Dąbrowski, Barbara Rychalska, Michał Daniluk, Dominika Basaj, Konrad Gołuchowski, Piotr Babel, Andrzej Michałowski, Adam Jakubowski
Many unsupervised representation learning methods belong to the class of similarity learning models.
Ranked #1 on Session-Based Recommendations on yoochoose1 (using extra training data)