1 code implementation • 14 Jul 2023 • Witold Kosciukiewicz, Mateusz Wojcik, Tomasz Kajdanowicz, Adam Gonczarek
Document-level joint entity and relation extraction is a challenging information extraction problem that requires a unified approach where a single neural network performs four sub-tasks: mention detection, coreference resolution, entity classification, and relation extraction.
coreference-resolution Joint Entity and Relation Extraction +2
1 code implementation • 13 Jul 2023 • Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zięba, Adam Gonczarek
This highlights the need for future work to develop more effective OOD detection approaches for the NLP problems, and our work provides a well-defined foundation for further research in this area.
1 code implementation • 11 Jul 2023 • Mateusz Wójcik, Witold Kościukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
Production deployments in complex systems require ML architectures to be highly efficient and usable against multiple tasks.
1 code implementation • 27 Nov 2022 • Mateusz Wójcik, Witold Kościukiewicz, Tomasz Kajdanowicz, Adam Gonczarek
Continual learning with an increasing number of classes is a challenging task.
no code implementations • 31 Jul 2018 • Piotr Klukowski, Adam Gonczarek
Nuclear magnetic resonance (NMR) spectroscopy is one of the leading techniques for protein studies.
no code implementations • 23 Oct 2016 • Adam Gonczarek, Jakub M. Tomczak, Szymon Zaręba, Joanna Kaczmar, Piotr Dąbrowski, Michał J. Walczak
We introduce a deep learning architecture for structure-based virtual screening that generates fixed-sized fingerprints of proteins and small molecules by applying learnable atom convolution and softmax operations to each compound separately.
no code implementations • 16 Jul 2014 • Jakub M. Tomczak, Adam Gonczarek
The subspace Restricted Boltzmann Machine (subspaceRBM) is a third-order Boltzmann machine where multiplicative interactions are between one visible and two hidden units.