no code implementations • LREC 2022 • Lukas Wertz, Katsiaryna Mirylenka, Jonas Kuhn, Jasmina Bogojeska
Large scale, multi-label text datasets with high numbers of different classes are expensive to annotate, even more so if they deal with domain specific language.
1 code implementation • 27 Nov 2022 • Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu
Furthermore, they often yield very good performance but only in the domain they were trained on.
no code implementations • NeurIPS 2021 • Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas
State-of-the-art approaches to reasoning and question answering over knowledge graphs (KGs) usually scale with the number of edges and can only be applied effectively on small instance-dependent subgraphs.
no code implementations • NeurIPS 2011 • Jasmina Bogojeska
This paper presents an approach that predicts the effectiveness of HIV combination therapies by simultaneously addressing several problems affecting the available HIV clinical data sets: the different treatment backgrounds of the samples, the uneven representation of the levels of therapy experience, the missing treatment history information, the uneven therapy representation and the unbalanced therapy outcome representation.